cs -移花宫-武林禁地，闲人禁止入内

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文件列表

Year 3/Semester 6/4. Mobile applications - IOS development/iOS Tutorial (2020) - How To Make Your First App-09TeUXjzpKs.mkv 7.8 GB
Year 3/Semester 5/1. Databases (SQL)/Database Design Course - Learn how to design and plan a database for beginners-ztHopE5Wnpc.mkv 6.1 GB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables-shrTfDUB9Hk.mkv 2.5 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-P-mXr9adbCc.mkv 2.2 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 9 - More Replication, CRAQ-IXHzbCuADt0.mkv 1.7 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 4 - Primary-Backup Replication-M_teob23ZzY.mkv 1.7 GB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation-lPe-rQA_afU.mkv 1.6 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 8 - Zookeeper-pbmyrNjzdDk.mkv 1.6 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 3 - GFS-EpIgvowZr00.mkv 1.6 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 10 - Decision Trees and Ensemble Methods _ Stanford CS229 - Machine Learning (Autumn 2018)-wr9gUr-eWdA.mkv 1.6 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/19. Discovering Quantitative Trait Loci (QTLs)-kx_Hks_-SZM.mkv 1.6 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 11 - Cache Consistency - Frangipani--pKNCjUhPjQ.mkv 1.5 GB
Year 2/Semester 3/3. Algorithms and Data Structures/Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer-RBSGKlAvoiM.mkv 1.5 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/7. ChIP-seq Analysis; DNA-protein Interactions-Ob9xGBPvr_s.mkv 1.5 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 1 - Introduction-cQP8WApzIQQ.mkv 1.4 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 6 - Fault Tolerance - Raft (1)-64Zp3tzNbpE.mkv 1.4 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/5. Library Complexity and Short Read Alignment (Mapping)-P3ORBMon8aw.mkv 1.4 GB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion-iZRSKK0aepM.mkv 1.3 GB
Year 3/Semester 5/1. Databases (SQL)/SQL Tutorial - Full Database Course for Beginners-HXV3zeQKqGY.mkv 1.3 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 18 - Continous State MDP & Model Simulation _ Stanford CS229 - Machine Learning (Autumn 2018)-QFu5nuc-S0s.mkv 1.3 GB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.mp4 1.3 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems-kKyrR0cFrEg.mkv 1.2 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 10 - Cloud Replicated DB, Aurora-jJSh54J1s5o.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-U8K13P6loyk.mkv 1.2 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/11. RNA Secondary Structure; Biological Functions and Predictions-kUN6rJ21Hno.mkv 1.2 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 2 - RPC and Threads-gA4YXUJX7t8.mkv 1.2 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/9. Modeling and Discovery of Sequence Motifs-1EMonM7qAU8.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu-TUFins4z6o4.mkv 1.2 GB
Year 4/Semester 8/5. Machine Learning for Healthcare/9. Translating Technology Into the Clinic-ZQu2B3GyI_k.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu-2Sa55D_Ve4U.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 11. Precise Exceptions, State Maintenance_Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu-nMfbtzWizDA.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-WQL2yMciD2M.mkv 1.2 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 12 - Distributed Transactions-aDp99WDIM_4.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-b4Dl85FVSok.mkv 1.2 GB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 7 - Fault Tolerance - Raft (2)-4r8Mz3MMivY.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-MB_mzk4dACo.mkv 1.2 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-CkOPbj5KhP8.mkv 1.2 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/10. Markov and Hidden Markov Models of Genomic and Protein Features-d5NMrA2HkG4.mkv 1.2 GB
Year 4/Semester 8/5. Machine Learning for Healthcare/14. Causal Inference, Part 1-gRkUhg9Wb-I.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-JfjT1a0vi4E.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-oGwvMk5re3Y.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 24 - Simulation & Memory Latency Tolerance - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-RKyCrSUjd-Q.mkv 1.1 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 15 - EM Algorithm & Factor Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-tw6cmL5STuY.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tpQPN01i3GA.mkv 1.1 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 19 - Reward Model & Linear Dynamical System _ Stanford CS229 - Machine Learning (Autumn 2018)-0rt2CsEQv6U.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-dKXbONPqBNY.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu-z0EknfZdlIs.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-2RhGMpY18zw.mkv 1.1 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/4. Comparative Genomic Analysis of Gene Regulation-14m9MW-qMhg.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-B2PPyATuSvs.mkv 1.1 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 4 - Perceptron & Generalized Linear Model _ Stanford CS229 - Machine Learning (Autumn 2018)-iZTeva0WSTQ.mkv 1.1 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 17 - MDPs & Value_Policy Iteration _ Stanford CS229 - Machine Learning (Autumn 2018)-d5gaWTo6kDM.mkv 1.1 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-isBEVkIjgGA.mkv 1.1 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 6 - Support Vector Machines _ Stanford CS229 - Machine Learning (Autumn 2018)-lDwow4aOrtg.mkv 1.1 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 3 - Locally Weighted & Logistic Regression _ Stanford CS229 - Machine Learning (Autumn 2018)-het9HFqo1TQ.mkv 1.1 GB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion-Le8qzbDhunE.mkv 1.1 GB
Year 4/Semester 8/5. Machine Learning for Healthcare/22. Regulation of Machine Learning _ Artificial Intelligence in the US-k95abdkdCPk.mkv 1.0 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 9 - Approx_Estimation Error & ERM _ Stanford CS229 - Machine Learning (Autumn 2018)-iVOxMcumR4A.mkv 1.0 GB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 11 - Introduction to Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-MfIjxPh6Pys.mkv 1.0 GB
Year 1/Semester 2/4. Computer System Architecture/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-jDHx2K9HxlM.mkv 1.0 GB
Year 4/Semester 8/5. Machine Learning for Healthcare/4. Risk Stratification, Part 1-_shuV1tJbTU.mkv 1.0 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/14. Predicting Protein Interactions-C95294_vvQY.mkv 1.0 GB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/2. Local Alignment (BLAST) and Statistics-6Udqou3vmng.mkv 994.3 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/18. Disease Progression Modeling and Subtyping, Part 1-yYWyLZrdRRI.mkv 993.9 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.3 - A Study of Binomial Probability Distributions-iGKSxMGX0Do.mkv 992.7 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks-i59JDQ9hk10.mkv 989.4 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-X6DZchnMYcw.mkv 986.4 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.3 - The Addition Rule for Probability-mmWxtSx03JI.mkv 977.7 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 14 - Expectation-Maximization Algorithms _ Stanford CS229 - Machine Learning (Autumn 2018)-rVfZHWTwXSA.mkv 970.6 MB
Year 3/Semester 6/3. Practical Implementation of Neural Networks/TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial-tPYj3fFJGjk.mp4 963.9 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations-oWJB0NaIcEE.mkv 963.4 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set-4-FysvtxQEU.mkv 952.7 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)-PdyARRNwi7I.mkv 950.7 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/5. Risk Stratification, Part 2-wqI_z1yumzY.mkv 949.7 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-93CVEOXM3T4.mkv 948.9 MB
Year 1/Semester 2/4. Computer System Architecture/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-5Oi7tvYE7fI.mkv 945.2 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/2. Overview of Clinical Care-DS97JV_o0Fs.mkv 934.4 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/8. RNA-sequence Analysis - Expression, Isoforms-MniYgsZSp30.mkv 931.2 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 12 - Backprop & Improving Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-zUazLXZZA2U.mkv 925.1 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 5 - Go, Threads, and Raft-UzzcUS2OHqo.mkv 918.1 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 5 - GDA & Naive Bayes _ Stanford CS229 - Machine Learning (Autumn 2018)-nt63k3bfXS0.mkv 905.4 MB
Year 1/Semester 2/4. Computer System Architecture/Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tXIO8JNwCi0.mkv 903.9 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 7 - Kernels _ Stanford CS229 - Machine Learning (Autumn 2018)-8NYoQiRANpg.mkv 902.5 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 8 - Data Splits, Models & Cross-Validation _ Stanford CS229 - Machine Learning (Autumn 2018)-rjbkWSTjHzM.mkv 890.6 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 16 - Independent Component Analysis & RL _ Stanford CS229 - Machine Learning (Autumn 2018)-YQA9lLdLig8.mkv 889.6 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/20. Human Genetics, SNPs, and Genome Wide Associate Studies-KYQ2dPW5nEU.mkv 886.8 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-gQvaT_AU0Gg.mkv 885.5 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/18. Analysis of Chromatin Structure-iKLvCuFD1MA.mkv 883.6 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation-WNgcmn5cXjI.mkv 874.3 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-PhUo1IMo6UU.mkv 871.1 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/13. Predicting Protein Structure-j1s9JfZKFqU.mkv 865.6 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 20 - RL Debugging and Diagnostics _ Stanford CS229 - Machine Learning (Autumn 2018)-pLhPQynL0tY.mkv 865.4 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka-JMUxmLyrhSk.mkv 844.7 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-qJmTZwzf1L4.mkv 840.4 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/3. Deep Dive Into Clinical Data-0UFwGJe6ubg.mkv 835.8 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-NCUDEgLfC_I.mkv 830.7 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score-JaVA-nXKVRI.mkv 830.4 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/17. Reinforcement Learning, Part 2-zdotUAxiPGM.mkv 825.1 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-r9HbMrb98CQ.mkv 810.3 MB
Year 4/Semester 8/4. Self-Driving Cars/MIT Self-Driving Cars (2018)-_OCjqIgxwHw.mkv 783.2 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-RBgeCCW5Hjs.mkv 779.6 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III-Hg_uyWezMM0.mkv 779.0 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-AXf_C5qOm8o.mkv 775.7 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-ibPL7T9iEwY.mkv 751.5 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-4_Z07m8tf6k.mkv 743.9 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/16. Protein Interaction Networks-RBPcKbEvK3U.mkv 739.8 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/7. Natural Language Processing (NLP), Part 1-IiD3YZkkCmE.mkv 736.0 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.2 - An Introduction to Hypothesis Testing-ev8cKdrdA4s.mkv 734.0 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/19. Disease Progression Modeling and Subtyping, Part 2-aJqgO8e37_g.mkv 729.4 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/15. Gene Regulatory Networks-So6MK_FcP4E.mkv 723.8 MB
Year 1/Semester 2/4. Computer System Architecture/Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu-y94DjKHPYVk.mkv 721.3 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12a - Neural Nets-uXt8qF2Zzfo.mkv 692.1 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms-AbHn39y8eUo.mkv 671.9 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP-EAJoRA0KX7I.mkv 644.3 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning-RN8qpSs8ozY.mkv 642.8 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/6. Physiological Time-Series-lLhfDSOwWtU.mkv 642.2 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution-4Ew60JEPGUk.mkv 641.9 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/20. Precision Medicine-kZrb6ZIwJqg.mkv 638.1 MB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial for Beginners-KJgsSFOSQv0.mkv 637.6 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/6. Genome Assembly-ZYW2AeDE6wU.mkv 629.4 MB
Year 1/Semester 2/4. Computer System Architecture/Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-cIhExOjdFPI.mkv 623.8 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/22. Causality, Natural Computing, and Engineering Genomes-uD4-fOWeXAY.mkv 614.7 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12b - Deep Neural Nets-VrMHA3yX_QI.mkv 609.6 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018)-jGwO_UgTS7I.mkv 604.9 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/24. Robustness to Dataset Shift-VpfAWhLBjQY.mkv 604.4 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019-3UGti9Ju5j8.mkv 599.7 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.2 - Introduction to Probability-_EpXHuPnaK0.mkv 591.3 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019-tZ_Jrc_nRJY.mkv 588.3 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering-yIdF-17HwSk.mkv 587.1 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-QKdiZSfwg-g.mkv 587.0 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/21. Automating Clinical Work Flows-Td01vFP3uJo.mkv 584.3 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-NpC39uS4K4o.mkv 584.2 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control-j080VBVGkfQ.mkv 583.1 MB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.mp4 581.9 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/10. Application of Machine Learning to Cardiac Imaging-MoEaRpLNo9A.mkv 570.5 MB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6-qfovbG84EBg.mkv 569.4 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-zLP_X4wyHbY.mkv 566.8 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/8. Natural Language Processing (NLP), Part 2-lkO2ocJBsmI.mkv 549.0 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 13 – Contextual Word Embeddings-S-CspeZ8FHc.mkv 546.9 MB
Year 3/Semester 6/4. Mobile applications - IOS development/Swift Programming Tutorial for Beginners (Full Tutorial)-Ulp1Kimblg0.mkv 546.2 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown-3AkOjmtz0XU.mkv 544.6 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode-NGGkOa35Sm8.mkv 532.6 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score--Lj6SvaVGr4.mkv 517.2 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 4-edOWKZE1t84.mkv 515.1 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities.-05JCQswK3hE.mkv 508.7 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II-E-_ecpD5PkE.mkv 508.1 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 24-GAKpnKLnJtc.mkv 506.1 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 21-rfTt7k6Nv-I.mkv 502.5 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 23-nDLe6_sPSfs.mkv 500.9 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 25-M42rQM0vC4g.mkv 500.4 MB
Year 1/Semester 2/4. Computer System Architecture/Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-IUk9o9wvX1Y.mkv 499.7 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 11-vnS9_NKoEKI.mkv 497.0 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 16-4A5LiJpPDRw.mkv 496.1 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 17 – Multitask Learning-M8dsZsEtEsg.mkv 493.6 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 18-kqt1YV9dEoE.mkv 493.5 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations-kBYt67NDToI.mkv 492.4 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 10-Jsg9TwLRTbM.mkv 492.1 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 9-KBVkri8k3Ao.mkv 491.4 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 12-2Gl-yNso0_0.mkv 488.7 MB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial _ Learn C programming _ C language--CpG3oATGIs.mkv 485.2 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I-8LEuyYXGQjU.mkv 484.1 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/12. Introduction to Protein Structure; Structure Comparison and Classification-6ROBp57G2ZI.mkv 483.4 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 20-TdTFYVjzs1I.mkv 483.0 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution.-w__TNyXH_xA.mkv 479.4 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 18 – Constituency Parsing, TreeRNNs-6Z4A3RSf-HY.mkv 475.4 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 5-rLMikQTOVnI.mkv 474.7 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 19-R9mT5CtdHLg.mkv 473.0 MB
Year 4/Semester 8/4. Self-Driving Cars/Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars-0fLSf3NO0-s.mkv 469.4 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors-8rXD5-xhemo.mkv 465.3 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 22-HFqO_8Eoc1U.mkv 464.7 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation-yLYHDSv-288.mkv 464.5 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/12. Machine Learning for Pathology-PKCMH5KOcxQ.mkv 462.9 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/25. Interpretability-wDLzLN1tArA.mkv 461.3 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 12 – Subword Models-9oTHFx0Gg3Q.mkv 460.1 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-nH4rn3X8i0c.mkv 451.3 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/16. Reinforcement Learning, Part 1-YZ5pOgY5hEE.mkv 451.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 8 remove and find-xo9_PkC5Ml0.mkv 450.4 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R4. Neural Nets-JMrFgnqSS0w.mkv 448.1 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/1. What Makes Healthcare Unique-vof7x8r_ZUA.mkv 441.0 MB
Year 4/Semester 7/4. Computer Vision/OpenCV Course - Full Tutorial with Python-oXlwWbU8l2o.mkv 440.5 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/9. Constraints - Visual Object Recognition-gvmfbePC2pc.mkv 438.3 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pO3Jsr31s_Q.mkv 436.9 MB
Year 4/Semester 8/4. Self-Driving Cars/Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars--j0tc0Y1CIE.mkv 435.8 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning-V7CY68zH6ps.mkv 433.0 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known-kv8u7yl6VQk.mkv 433.0 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/11. Differential Diagnosis-VuKOW8d4KHw.mkv 432.9 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses-kEMJRjEdNzM.mkv 428.6 MB
Year 4/Semester 7/3. Intelligent Mobile Applications/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19)-s65BigoMV_I.mkv 426.1 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/23. Fairness-zYgkr0KfWM0.mkv 426.0 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R5. Support Vector Machines-6nDqY8MPLDM.mkv 423.7 MB
Year 4/Semester 8/4. Self-Driving Cars/Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars-LSX3qdy0dFg.mkv 421.2 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-6-4pJt1M18s.mkv 414.4 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 2 - Linear Regression and Gradient Descent _ Stanford CS229 - Machine Learning (Autumn 2018)-4b4MUYve_U8.mkv 413.8 MB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.mp4 411.1 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/21. Probabilistic Inference I-A6Ud6oUCRak.mkv 408.5 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning-gOV8-bC1_KU.mkv 408.3 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 2-3_o0-zPRQqw.mkv 407.2 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-IYMYI9AJpQs.mkv 407.1 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R2. Basic Search, Optimal Search-Tl_p5pgBsyM.mkv 406.8 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 15 – Natural Language Generation-4uG1NMKNWCU.mkv 404.5 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 7-LbX51mey3vo.mkv 402.6 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-JXtH_ABQFX0.mkv 400.1 MB
Year 3/Semester 5/4. Client-side development with React/Learn React JS - Full Course for Beginners - Tutorial 2019-DLX62G4lc44.mp4 398.9 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review-o_i5F1zGPLs.mkv 395.5 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs-iWea12EAu6U.mkv 394.0 MB
Year 3/Semester 5/2. Web Application Development/Python Django Web Framework - Full Course for Beginners-F5mRW0jo-U4.mkv 393.5 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects-fyqm8fRDgl0.mkv 387.8 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/8. Constraints - Search, Domain Reduction-d1KyYyLmGpA.mkv 386.3 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown.-onTQhD7osY4.mkv 379.9 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191-8Kn4Gi8iSYQ.mkv 377.1 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/22. Probabilistic Inference II-EC6bf8JCpDQ.mkv 376.5 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 19 – Bias in AI-XR8YSRcuVLE.mkv 374.4 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019-lzBB7xoZ3Q8.mkv 372.2 MB
Year 4/Semester 8/4. Self-Driving Cars/Drago Anguelov (Waymo) - MIT Self-Driving Cars-Q0nGo2-y0xY.mkv 370.6 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 16 – Coreference Resolution-i19m4GzBhfc.mkv 370.1 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/23. Model Merging, Cross-Modal Coupling, Course Summary-XPEJg_6Cg6o.mkv 367.3 MB
Year 4/Semester 8/4. Self-Driving Cars/Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars-LDprUza7yT4.mkv 366.6 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/13. Learning - Genetic Algorithms-kHyNqSnzP8Y.mkv 360.7 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R6. Boosting-ZZmzMJB-tow.mkv 359.5 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II-jJ7JbQBTChM.mkv 350.4 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation-buptHUzDKcE.mkv 346.4 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-O1Xh3H1uEYY.mkv 345.8 MB
Year 4/Semester 8/4. Self-Driving Cars/Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars-p5AtrKqQ3Fw.mkv 343.6 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-M_VPUF9ResU.mkv 343.3 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known.-VywV9XcA9IE.mkv 340.4 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/16. Learning - Support Vector Machines-_PwhiWxHK8o.mkv 339.3 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019-7b2_3dDTKMc.mkv 338.8 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 3-WqBc0ZCU4Uw.mkv 335.9 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention-XXtpJxZBa2c.mkv 335.1 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/19. Architectures - GPS, SOAR, Subsumption, Society of Mind-PimSbFGrwXM.mkv 335.0 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R3. Games, Minimax, Alpha-Beta-hM2EAvMkhtk.mkv 332.0 MB
Year 4/Semester 7/4. Computer Vision/MIT 6.S094 - Computer Vision-CLOAswsxudo.mkv 330.9 MB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 13 - Debugging ML Models and Error Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-ORrStCArmP4.mkv 327.9 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning-zPU1SRHuAW8.mkv 327.4 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks-8CWyBNX6eDo.mkv 326.0 MB
Year 2/Semester 3/4. Intro to Client-side development/Learn JavaScript - Full Course for Beginners-PkZNo7MFNFg.mp4 325.7 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley)-h1Ygos9lDfE.mkv 324.8 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction-FgzM3zpZ55o.mkv 322.5 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/4. Search - Depth-First, Hill Climbing, Beam-j1H3jAAGlEA.mkv 321.4 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/17. Learning - Boosting-UHBmv7qCey4.mkv 321.3 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 13-VuM1WnwEMRQ.mkv 321.0 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search-vDF1BYWhqL8.mkv 320.0 MB
Year 1/Semester 2/4. Computer System Architecture/Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu-Z1jsJKAlWjw.mkv 318.2 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/18. Representations - Classes, Trajectories, Transitions-bQI0OmJPby4.mkv 317.9 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019-C5bdflsg7rs.mkv 317.1 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'-a86Vj_7R2aQ.mkv 317.1 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/5. Search - Optimal, Branch and Bound, A-gGQ-vAmdAOI.mkv 314.8 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 26-DpxNW0T8CWg.mkv 310.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 1 Introduction-uW8-HkmNq4Q.mkv 310.0 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/17. Discrete-Time (DT) Frequency Representations-gwa-Rh0u6bs.mkv 309.7 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley)-UnDajgiVmic.mkv 305.2 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 15-U7158Q-2rJc.mkv 303.3 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 17-PPCnYiTpbCo.mkv 301.6 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley)-FXFmy6JWj1E.mkv 299.9 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley)-uvE_HeNHTzI.mkv 298.8 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/15. Learning - Near Misses, Felicity Conditions-sh3EPjhhd40.mkv 296.8 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019-YygGzfkhtJc.mkv 296.1 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 6-gxp_FrgTkQI.mkv 292.2 MB
Year 4/Semester 8/4. Self-Driving Cars/Self-Driving Cars - State of the Art (2019)-sRxaMDDMWQQ.mkv 291.1 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/14. Learning - Sparse Spaces, Phonology-L73hY1pBcQI.mkv 288.7 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation-dRIhrn8cc9w.mkv 287.9 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/19. Relations Among Fourier Representations-HDYAbIA-DNY.mkv 286.0 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 8-aHW6HKVC-SY.mkv 284.6 MB
Year 4/Semester 8/4. Self-Driving Cars/Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars-dWSbItd0HEA.mkv 282.0 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Neural Rendering _ MIT 6.S191-BCZ56MU-KhQ.mkv 280.9 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/10. Introduction to Learning, Nearest Neighbors-09mb78oiPkA.mkv 275.9 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019-WXLb4h2A724.mkv 272.8 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/6. Search - Games, Minimax, and Alpha-Beta-STjW3eH0Cik.mkv 271.7 MB
Year 4/Semester 7/5. Robotics/Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009-7nnFGxqRwNE.mkv 271.0 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/7. Constraints - Interpreting Line Drawings-l-tzjenXrvI.mkv 269.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 11 the hash class-fJfzmZ6eKjY.mkv 269.0 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Recurrent Neural Networks _ MIT 6.S191-SEnXr6v2ifU.mkv 267.2 MB
Year 4/Semester 7/5. Robotics/Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009--fCLJ1pGht4.mkv 262.8 MB
Year 4/Semester 7/5. Robotics/Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009-KNRMz9YPCOY.mkv 262.5 MB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 1-0JUN9aDxVmI.mkv 262.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 6 recursive add-eg7wGS9ySYs.mkv 260.3 MB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/CSS Crash Course For Absolute Beginners-yfoY53QXEnI.mkv 259.3 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement-z6dtF1eJ3m4.mkv 258.9 MB
Year 4/Semester 7/5. Robotics/Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009-QI09XKVW_8E.mkv 258.8 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/11. Learning - Identification Trees, Disorder-SXBG3RGr_Rc.mkv 258.5 MB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Algorithm and Agent - Reinforcement Learning p.2-Gq1Azv_B4-4.mkv 254.9 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 20 – Future of NLP + Deep Learning-3wWZBGN-iX8.mkv 254.3 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/2. Reasoning - Goal Trees and Problem Solving-PNKj529yY5c.mkv 253.8 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/18. Discrete-Time (DT) Fourier Representations-3D51nqZ-97Q.mkv 253.1 MB
Year 4/Semester 8/4. Self-Driving Cars/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars-HKBhP9JISF0.mkv 251.7 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample-MfkJu7J1LE4.mkv 250.6 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 14 – Transformers and Self-Attention-5vcj8kSwBCY.mkv 248.0 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R1. Rule-Based Systems-iusTmgQyZ44.mkv 247.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14-NMd7WjZiCzc.mkv 245.8 MB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/HTML Crash Course For Absolute Beginners-UB1O30fR-EE.mkv 245.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 11 Coding Rotations-Y-nmgO8ALjM.mkv 244.3 MB
Year 1/Semester 1/4. Introduction to Computer Science and Programming/Introduction to Programming and Computer Science - Full Course-zOjov-2OZ0E.mp4 241.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 3-SVsT7oG4ap8.mkv 240.9 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing-nC9_RfjYwqA.mkv 239.6 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Convolutional Neural Networks _ MIT 6.S191-iaSUYvmCekI.mkv 238.3 MB
Year 4/Semester 7/5. Robotics/Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009-ufM3HLTZ47k.mkv 237.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 18 KeyIterator-2LuVyqAC0ZA.mkv 237.0 MB
Year 4/Semester 7/5. Robotics/Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009-4kB94UDwJ0M.mkv 236.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 2 ComparableGenerics-HtahYOYb7zM.mkv 234.9 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain)-ulLx2iPTIcs.mkv 234.8 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/1. Introduction and Scope-TjZBTDzGeGg.mkv 230.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running the Network - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.6-CPZ5ihaNfJc.mkv 230.3 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley)-kXmKxtXEXyQ.mkv 229.5 MB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4-G92TF4xYQcU.mkv 229.1 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 15 - Big Data - Spark-mzIoSW-cInA.mkv 229.0 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/3. Reasoning - Goal Trees and Rule-Based Expert Systems-leXa7EKUPFk.mkv 228.5 MB
Year 4/Semester 7/5. Robotics/Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009-7LLUz7A1--Q.mkv 226.9 MB
Year 4/Semester 7/5. Robotics/Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009-E-sOMfDVe8o.mkv 226.4 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/15. Fourier Series-N0CVIoVQkmc.mkv 225.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 12 Double Linked Lists-v8xyoI11PsU.mkv 223.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1-CvspEt8kSIg.mkv 223.7 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley)-EtkggozKpGQ.mkv 221.5 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/12. Continuous-Time (CT) Feedback and Control, Part 1-5w2BvCPuYY0.mkv 217.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 13 Constructor for a chained hash.-VtU1EQPIS0w.mkv 216.6 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Image Domain Transfer (NVIDIA)-_MzaThb_jno.mkv 215.5 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 3 Introduction to Generic Programming-_dy9JnEXekU.mkv 214.0 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT Introduction to Deep Learning _ 6.S191-njKP3FqW3Sk.mkv 214.0 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation.-d7w9fRlDXQk.mkv 213.7 MB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R7. Near Misses, Arch Learning-J-ocRQCjcwE.mkv 213.3 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/25. Audio CD-t2hNMFoIv8w.mkv 213.0 MB
Year 4/Semester 7/5. Robotics/Lecture 10 _ MIT 6.832 Underactuated Robotics, Spring 2009-xwgIkdBQku4.mkv 212.8 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/4. Continuous-Time (CT) Systems-4PlHFcfB8DA.mkv 212.4 MB
Year 4/Semester 7/5. Robotics/Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009-89GQHKOeUcU.mkv 211.7 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/11. Continuous-Time (CT) Frequency Response and Bode Plot-2X7o37pfdp8.mkv 210.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 8 Open Addressing-yA8bDfWj0UU.mkv 207.9 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Convolutional Neural Networks-H-HVZJ7kGI0.mkv 207.8 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using More Data - Deep Learning with Neural Networks and TensorFlow part 8-JeamFbHhmDo.mkv 205.8 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/1. Introduction to Computational and Systems Biology-lJzybEXmIj0.mkv 205.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28-yrnhziJk-z8.mkv 205.3 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 17 - COPS, Causal Consistency-fR_NB714EAI.mkv 204.9 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/8. Convolution-w1Z2FX8rQc0.mkv 204.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 10 Rehashing-7PuZOsxe-mo.mkv 204.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 6 Make an integer positive-1JZMb3D75PY.mkv 203.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42-k1alPDpSGBE.mkv 202.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Bloom Filters-heEDL9usFgs.mkv 201.3 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers-INja7C5_vqk.mkv 199.6 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/9. Frequency Response-fKaZeD70p8I.mkv 197.8 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley)-MMB2wVyI_LI.mkv 197.6 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/13. Continuous-Time (CT) Feedback and Control, Part 2-gxgV_oOG7Zc.mkv 197.1 MB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs-QEw0qEa0E50.mkv 196.9 MB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pip8h9vjTHY.mkv 196.9 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Generative Modeling-JVb54xhEw6Y.mkv 196.6 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Reinforcement Learning _ MIT 6.S191-nZfaHIxDD5w.mkv 196.2 MB
Year 4/Semester 7/5. Robotics/Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009-ja56bJ8ogUw.mkv 194.8 MB
Year 4/Semester 7/5. Robotics/Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009--RRYZ-b9NpI.mkv 194.5 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/20. Applications of Fourier Transforms-tp_MdKz3fC8.mkv 194.2 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Introduction to Deep Learning-5v1JnYv_yWs.mkv 193.8 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Generative Modeling _ MIT 6.S191-rZufA635dq4.mkv 190.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 17 resize-AA0KuKV3ARU.mkv 188.5 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/21. Sampling-1El4znkRH0g.mkv 188.1 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World-E3f2Camj0Is.mkv 187.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 15 add() and remove() methods-wyxej4siMyI.mkv 186.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 4 addFirst()-yMoHuOZzMpk.mkv 185.4 MB
Year 4/Semester 7/5. Robotics/Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009-qtmmwILxVR4.mkv 185.2 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley)-XMcNhZZwlL4.mkv 183.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 9 Chaining-nVu_OnyGk6U.mkv 180.8 MB
Year 4/Semester 7/5. Robotics/Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009-oWr1_LybOZI.mkv 178.4 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley)-Pk1E3Iod7eQ.mkv 176.6 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley)-r_SpMPgK2X0.mkv 176.5 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/14. Fourier Representations-ufU6b7OHb8M.mkv 176.4 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley)-3hfL3ckFAfo.mkv 176.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 3 Traversal-F2SksNIg0os.mkv 176.2 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191-4PuuziOgSU4.mkv 176.1 MB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics-9FtHB7V14Fo.mkv 176.1 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/7. Discrete Approximation of Continuous-Time Systems-pqkYqU11ETA.mkv 175.9 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Generative Modeling-yFBFl1cLYx8.mkv 175.9 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Learning New Frontiers _ MIT 6.S191-tfM_DdbGTLs.mkv 173.7 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 20 - Blockstack-XvXK_vZ0BNw.mkv 173.2 MB
Year 4/Semester 7/5. Robotics/Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009-Gho0bmTsnA4.mkv 173.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 2 Nodes and Size-Dfu7PeZ3v2Q.mkv 172.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 5 HeapSort-LbB357_RwlY.mkv 172.2 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/16. Fourier Transform-iWZNTM139xQ.mkv 171.7 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 16 - Cache Consistency - Memcached at Facebook-Myp8z0ybdzM.mkv 171.6 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Reinforcement Learning-s5qqjyGiBdc.mkv 171.5 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley)-KRenWKpfGo4.mkv 170.5 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley)-COwyx_APxRE.mkv 167.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 10 Rotations-NczBLeco6XA.mkv 167.6 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley)-1ADOHPV8mN4.mkv 166.9 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server-Sa_kQheCnds.mkv 165.0 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/13. Machine Learning for Mammography-2ZXYM1h9pgY.mkv 164.9 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 18 - Fork Consistency, Certificate Transparency-UKdLJ7-0iFM.mkv 161.8 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley)-Vq4kd_jlnGk.mkv 161.4 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Machine Learning for Scent _ MIT 6.S191-Z5Pw5eWItiw.mkv 159.3 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Biologically Inspired Neural Networks (IBM)-4lY-oAY0aQU.mkv 159.2 MB
Year 4/Semester 7/5. Robotics/Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009-6v3Ln2ACtqI.mkv 159.0 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks-NVH8EYPHi30.mkv 158.5 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2-KlffppN47lc.mkv 158.2 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley)-uVKyubtOWr0.mkv 158.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 1 The Rules-nMExd4DthdA.mkv 156.7 MB
Year 4/Semester 7/5. Robotics/Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009-EqAYRo4wXxY.mkv 156.7 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley)-hry_qqXLej8.mkv 156.1 MB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q-Learning Agent Analysis - Reinforcement Learning p.3-CBTbifYx6a8.mkv 155.8 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley)-eG_d-rGt-Z8.mkv 155.5 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Recurrent Neural Networks-_h66BW-xNgk.mkv 155.2 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts--s7e_Fy6NRU.mkv 154.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 9 Introduction to rotations-M0Y3kDuyUCU.mkv 154.3 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/6. Laplace Transform-MRy8xxvsZA4.mkv 154.3 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley)-5D6-Br8PgMQ.mkv 154.0 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley)-LsRXYEc-yDM.mkv 152.4 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 10 - Object Oriented Programming-ZOKLjJF54Xc.mkv 152.2 MB
Year 4/Semester 7/5. Robotics/Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009-g-VehRFsDcI.mkv 151.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU-io6Ajf5XkaM.mkv 151.2 MB
Year 4/Semester 7/5. Robotics/Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009-Bhbk4bWV1Uc.mkv 150.8 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/22. Sampling and Quantization-bJvv5SckGeA.mkv 150.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 1 Introduction--EDUhPg6930.mkv 150.2 MB
Year 4/Semester 8/5. Machine Learning for Healthcare/15. Causal Inference, Part 2-g5v-NvNoJQQ.mkv 150.0 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning - A Personal Perspective-Z7YMDwzUTds.mkv 149.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 13 Circular Linked Lists-7ELt4-z4YeI.mkv 148.1 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley)-UzmUAA8qFaM.mkv 144.2 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/3. Feedback, Poles, and Fundamental Modes-K3OFb7RlbVE.mkv 143.8 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6-YFxVHD2TNII.mkv 142.1 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley)-DRGr3tFtHiQ.mkv 142.1 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley)-DaOLlnOV0s0.mkv 140.1 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 14 - Optimistic Concurrency Control-Cw6Nj2evjSs.mkv 138.5 MB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley)-3Hsp5vtQeP0.mkv 137.6 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/24. Modulation, Part 2-OfMhtibbVXU.mkv 137.2 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/23. Modulation, Part 1-OT04cEdpK-M.mkv 134.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 14 Review of constructors-CQPy29vNa1M.mkv 134.2 MB
Year 4/Semester 7/5. Robotics/Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009-9qnpQ1hVlqw.mkv 133.4 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/5. Z Transform-iI-ejO9hczw.mkv 132.9 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/1. Signals and Systems--FHm2pQmiSM.mkv 132.8 MB
Year 4/Semester 7/5. Robotics/Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009-7la43dvoLh0.mkv 132.8 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 13 - Spanner-4eW5SWBi7vs.mkv 132.6 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning-mNqVGB2HkXg.mkv 132.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3-ViO56ASqeks.mkv 131.9 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4-HCBX2cuA5UU.mkv 131.5 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 3 - Templates-qDwdMDQ8oX4.mkv 131.4 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination-acOktTcTVEQ.mkv 130.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 2 Hash Functions-XYmI-T-JJso.mkv 129.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 12 Review of the hash element inner class-NVqY9oDz7RU.mkv 129.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 7 complete example of adding data to an AVL tree.-7m94k2Qhg68.mkv 128.6 MB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Deep Q Learning w_ DQN - Reinforcement Learning p.5-t3fbETsIBCY.mkv 128.3 MB
Year 4/Semester 7/5. Robotics/Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009-Z8oMbOj9IWM.mkv 127.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 6 Merge Sort-qdv3i6X0PiQ.mkv 127.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 10 Testing the list-XUiRmbBn71w.mkv 126.5 MB
Year 4/Semester 7/5. Robotics/Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009-CUygqWS7occ.mkv 125.1 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Parameters - Practical Machine Learning Tutorial with Python p.33-93AjE1YY5II.mkv 124.6 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Reinforcement Learning-i6Mi2_QM3rA.mkv 123.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36-j6jstahQp2A.mkv 123.6 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/RNN Example in Tensorflow - Deep Learning with Neural Networks 11-dFARw8Pm0Gk.mkv 122.5 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration-q4jPR-M0TAQ.mkv 122.5 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Practical Machine Learning Tutorial with Python Intro p.1-OGxgnH8y2NM.mkv 122.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means from Scratch - Practical Machine Learning Tutorial with Python p.38-HRoeYblYhkg.mkv 121.8 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/2. Discrete-Time (DT) Systems-Ih4s5IFphCw.mkv 121.6 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing CPU and GPU TensorFlow on Windows-r7-WPbx8VuY.mkv 121.4 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku-6DI_7Zja8Zc.mkv 119.1 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 2 - C++ Calculator-txGRU7OrTZo.mkv 118.9 MB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/10. Feedback and Control-TeVSxZgIHAA.mkv 118.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 7 Merge Sort Code-jr10xrAFSEg.mkv 118.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40-TO8I-nggpzs.mkv 118.1 MB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 19 - Bitcoin-K_euhRou98Y.mkv 118.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Stacks and Queues 3 Using arrays to write stacks and queues-sHgHZdZEjz4.mkv 116.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 2-QWVBu_GlUgI.mkv 113.7 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial - C++ Notepad App-I96uPDifZ1w.mkv 112.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2-pnSBZ6TEVjY.mkv 111.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 3 TrickleUp-6i15PI_VP-E.mkv 111.0 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 5 - Finish Paint App-F-ha0F2yLqA.mkv 110.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 6 Rebalancing AVL trees-wn1tc5SAGZk.mkv 109.8 MB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for iOS (Coding TensorFlow)-0SBtAjUauOc.mkv 109.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Trees 2 Example of building a tree-v6eDztNiJwo.mkv 109.0 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 3 - Qt Charts-MHn3ZTWcyXk.mkv 108.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3-G-KvpNGudLw.mkv 108.5 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Introduction to Deep Learning-JN6H4rQvwgY.mkv 108.3 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7-6rDWwL6irG0.mkv 108.0 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers-l_yWLAQg7LU.mkv 107.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 9 peek()-GIE2XiztuXg.mkv 106.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 5 Node Class-MDERPc4eU-M.mkv 106.9 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 3 - Pointers & Functions-7pLldfZunJI.mkv 106.9 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class.-pU9gd1TGUmQ.mkv 106.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 4 recursive add for an AVL tree-vYkgmdzhBoI.mkv 106.6 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Computer Vision Meets Social Networks-aFEnWHxUd7s.mkv 106.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35-8p6XaQSIFpY.mkv 105.5 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4-r4mwkS2T9aI.mkv 104.2 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running our Network - Deep Learning with Neural Networks and TensorFlow-PwAGxqrXSCs.mkv 104.1 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops-tT8ICXAO_-4.mkv 103.6 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial-N5HgK1bTLOg.mkv 103.6 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13-mynJtLhhcXk.mkv 103.6 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions-2mIERXU7wWY.mkv 102.8 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow-BhpvH5DuVu8.mkv 102.5 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations-aHC3uTkT9r8.mkv 102.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 7 Contains-TNsfoKv8xvA.mkv 102.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 5 addLast()-Pka_xr87Krg.mkv 100.6 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17-GWHG3cS2PKc.mkv 100.2 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41-P-iAd8b7zl4.mkv 100.1 MB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for Android (Coding TensorFlow)-JnhW5tQ_7Vo.mkv 99.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 3 Collisions-YIoZQwWJIDA.mkv 99.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 3 Insertion Sort-eTvQIbB-AuE.mkv 99.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Quick Sort-mN5ib1XasSA.mkv 98.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/k-mer algorithms - Compare and Swap-8XJ8r_n7POY.mkv 98.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Configuration Management-nDp6uBFHfQU.mkv 98.5 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Python Village-XEO9FzOPiOQ.mkv 97.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5-QLVMqwpOLPk.mkv 97.5 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32-XdcfJX-mDG4.mkv 97.4 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 16 - C++ Threads-IdwJdJw65tU.mkv 96.9 MB
Year 3/Semester 6/1. Non-relational Databases/MongoDB In 30 Minutes-pWbMrx5rVBE.mkv 96.6 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cohesion and Coupling-bKYlMcyuvcM.mkv 95.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Big O Notations-V6mKVRU1evU.mkv 94.9 MB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Sequence Diagrams-cxG-qWthxt4.mkv 94.8 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 12 - Operator Overloading & File I_O-gc7Eqba1c5g.mkv 94.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 16 getValue()-jygDV6dwL74.mkv 93.4 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System-3aVqWaLjqS4.mkv 91.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 11 Iterators-bx0ebSGUKto.mkv 91.3 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 2)-S3mS8MR7bUY.mkv 91.3 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5-7fcWfUavO7E.mkv 90.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems 2-LswVAk59goM.mkv 90.2 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 9 - Lambda Expressions-482weZjwVHY.mkv 90.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 1 Introduction to complexity-IgeJmTKQlKs.mkv 89.9 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Deep Learning with Neural Networks and TensorFlow Introduction-oYbVFhK_olY.mkv 89.7 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 4 - C++ Paint App-uzgU2XzhnHY.mkv 89.4 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads-kt3ZtW9MXhw.mkv 89.3 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Training - Practical Machine Learning Tutorial with Python p.26-QAs2olt7pJ4.mkv 88.3 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 7 - Solving Problems-EKKOi4E7pm0.mkv 88.2 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 5 - Strings & Math-xxMG5HwCK6w.mkv 87.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Life Cycle-sARoc6GyCq8.mkv 86.6 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - GC Content, FASTA File Format, Data Processing.-mw4FSbDro0A.mkv 85.8 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4-lqhMTkouBx0.mkv 85.8 MB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Intro_Table - Reinforcement Learning p.1-yMk_XtIEzH8.mkv 85.3 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 19 - C++ Regular Expressions-9K4N6MO_R1Y.mkv 84.9 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scope of CASE Tools-iX6EntDbbYw.mkv 84.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 5 checking balance in an AVL tree-iNy6c4Q9Umw.mkv 84.0 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class.-7HdmQ4AYjZw.mkv 83.8 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset--tyBEsHSv7w.mkv 83.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18-3XPhmnf96s0.mkv 83.5 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt-NhidVhNHfeU.mkv 83.3 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5-_DAeMDMHgtY.mkv 83.2 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Elicitation Techniques-1UEzc2E71Hk.mkv 82.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java 2-iR5wyCaIayk.mkv 82.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14-1i0zu9jHN6U.mkv 82.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems-63BBWWsqsT0.mkv 82.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Stacks and Queues-JvGZh_BdF-8.mkv 82.1 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Point-LgMwjnqkjZg.mkv 81.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Introduction - 3D Convolutional Neural Network w_ Kaggle Lung Cancer Detection Competiton p.1-ulq9DjCJPDU.mkv 80.8 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.4 Algorithms for Integer Operations-u1lbOzWb6X4.mkv 80.1 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2-RVt4EN-XdPA.mkv 80.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Custom K Means - Practical Machine Learning Tutorial with Python p.37-H4JSN_99kig.mkv 79.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 8 Quick Sort-ZHVk2blR45Q.mkv 78.9 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Assumptions - Practical Machine Learning Tutorial with Python p.12-Kpxwl2u-Wgk.mkv 78.8 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Clustering Introduction - Practical Machine Learning Tutorial with Python p.34-ZueoXMgCd1c.mkv 76.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Engineering Process-Z9mKgHbfPpE.mkv 76.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 4 TrickleDown-jHZu1GV27tI.mkv 76.7 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks-CznICCPa63Q.mkv 75.4 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Levels-dBnbaB80aZo.mkv 75.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Object Oriented Design-JK6LYUSGnWo.mkv 74.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Scheduling-SkQzQCAWf8M.mkv 74.7 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Documentation-ApqnZIWPw7s.mkv 74.2 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation-IdBSLvoP6uY.mkv 73.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Algorithms-f5OD9CKrZEw.mkv 73.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Shortest Job First (SJF)-t0g9b3SJECg.mkv 72.6 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Graphical User Interface-O2xzkCgV0PY.mkv 72.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Heaps-eFCn6udv3gQ.mkv 71.5 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 5 Compressing numbers to fit the size of the array--ftpXclGT4c.mkv 71.4 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.3 The Approximate Area of a Plane Region-y0ZmzMQnK6A.mkv 70.6 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6-za5s7RB_VLw.mkv 70.3 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Management Tools-e1NYaiwIla0.mkv 70.2 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse-zcm8plpCUZI.mkv 70.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 5 Shell Sort-ddeLSDsYVp8.mkv 69.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 7 removeLast()-VGlcF3VQ-Pg.mkv 69.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL 1 Introduction--9sHvAnLN_w.mkv 69.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Sort Algorithm-JUOyKSZScW0.mkv 69.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/fork() and exec() System Calls-IFEFVXvjiHY.mkv 68.8 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 14 - Templates & Iterators-ywNZAebgEZw.mkv 68.6 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 18 - Associative Containers & Container Adapters-IaTzi_bsuJU.mkv 68.3 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1-gT4F3HGYXf4.mkv 68.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4-27FPv1VHSsQ.mkv 67.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 6 removeFirst()-BlUFXfGzm0Y.mkv 67.0 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 21 - C++ Regex 3-tsR2rNTX3D0.mkv 66.5 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Threads-LOfGJcVnvAk.mkv 66.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 3 Adding a node-uTLiAbHH8xI.mkv 66.2 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.4.1 Trigonometric Substitution-wQgEjJ0PBH8.mkv 66.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 4 Hash Functions for Strings-jtMwp0FqEcg.mkv 65.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 7 left rotate-fpESZSHrsp0.mkv 64.9 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management Activities-eOTcPOvT-H4.mkv 64.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 5 checking violations in the tree-pJWAi6u7Nq4.mkv 63.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Intro - Practical Machine Learning Tutorial with Python p.2-JcI5Vnw0b2c.mkv 62.7 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Flow Diagram-Oe2I5OLYF3I.mkv 62.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2-Ge65ukmJTzQ.mkv 62.2 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Development Tools Setup.-81Eb_YXmV4g.mkv 62.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 8 Remove-YeSPhuU-QtE.mkv 62.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 1 Introduction to sorts-H3FCoYQMKvI.mkv 61.6 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Issues in RPC & How They're Resolved-jH3RezOHROU.mkv 61.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 3 Boundary Conditions-rxpUg4M_jWo.mkv 61.0 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture-FdVuKt_iuSI.mkv 61.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19-r_D5TTV9-2c.mkv 59.9 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Golden Rules-gxQmn3_JMZ0.mkv 59.7 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3-lN5jesocJjk.mkv 59.7 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 11 - Polymorphism-k7O7AGfDI2c.mkv 59.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.2 Models of Exponential Growth and Decay-x-FAnx9-W8g.mkv 59.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 3 Some examples of big-Oh notation-66ovUEE0bQI.mkv 59.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Risk Management-SA5F_GIXbok.mkv 58.9 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Visualizing - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.3-MqcZYw8Tgpc.mkv 58.8 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8-SvmueyhSkgQ.mkv 58.5 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.1 Rules of Inference for Propositional Logic-oasIqX74Mhc.mkv 58.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Programming Style-9T7p-Sx7G-Y.mkv 58.4 MB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Faster ML Development with TensorFlow-FkHWKq86tSw.mkv 58.4 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to Use a Custom Domain Name for Our Application-D2lwk1Ukgz0.mkv 58.2 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 13 - Advanced Functions-TGOXttOoI0U.mkv 58.0 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile-CQ90L5jfldw.mkv 57.4 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Preemptive and Non-Preemptive Scheduling-4DhFmL-6SDA.mkv 57.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 2 Nodes-91aebuLdWok.mkv 57.1 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions.-Q-ZJ3NYSMEk.mkv 57.1 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Execution and Monitoring-dXYMZDaPkUE.mkv 57.0 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database.-mJDe5QG2L9k.mkv 57.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 1 ObjectOrientedProgramming-Bc3UUHocxt0.mkv 56.7 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.2 Linear Combinations-9QXnOwSOoWA.mkv 56.7 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.4.1 The Direct Comparison Test-oobg9RMaGjo.mkv 56.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 4 Parameterized Types-DjJRWroA168.mkv 56.2 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Optimization - Practical Machine Learning Tutorial with Python p.27-VhHLpg7ZS4Q.mkv 55.7 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Re engineering-UXERB3xFgc4.mkv 55.4 MB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Class Diagrams-3cmzqZzwNDM.mkv 55.1 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 6 - Solving Problems-VPT9jXt3GC0.mkv 55.1 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Functional Programming-tKxSKN9yWDA.mkv 55.0 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose-RM24OPadFMA.mkv 54.8 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.2 Finding Volume Using the Washer Method-gg3A4oJILLA.mkv 54.6 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.1 Finding Volume Using the Shell Method-X8lAi5ze8Z8.mkv 54.6 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Command Line Interface (CLI)-4aEETgIA_Wo.mkv 54.3 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent-H6gIC1FF1b4.mkv 54.2 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 4 - Exception Handling & Looping-HD72quXVuE4.mkv 54.0 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multithreading Models & Hyperthreading-HW2Wcx-ktsc.mkv 53.9 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Maintenance Activities-X5cBc9z_Ibs.mkv 53.7 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement.-h1aP9HCFu6Y.mkv 52.8 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations.-3eBIHdyGJLQ.mkv 52.4 MB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Component Diagrams-KQUGFFN4M90.mkv 52.3 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Communication Management-0q-ZVshvypU.mkv 51.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Waterfall Model-fN6JgY6BEFs.mkv 51.8 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 15 - Smart Pointers & Polymorphic Templates-q_LUYLV3l44.mkv 51.4 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations-kjC_kVBxQA0.mkv 51.4 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.2 Finding the Area Between Two Curves-xOvE4dzfcdU.mkv 51.0 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.2 Center of Mass of a Planar Lamina-xq8z6SqVXTM.mkv 51.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Component Reusability-dapI52aXDLo.mkv 50.9 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25-AbVtcUBlBok.mkv 50.8 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.2 Solving Logic Puzzles-N2YHianzseI.mkv 50.6 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations-OUQmx7GQwmY.mkv 50.5 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Computer System Operation)-VjPgYcQqqN0.mkv 50.3 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 7 LoadFactor()-pMKUrv1NksA.mkv 50.0 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.2 Translating with Nested Quantifiers-8ws-MMeDOSE.mkv 49.9 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.1 Finding Volume Using the Disk Method-mKcQS5zoqDc.mkv 49.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 12 Sort Summary-tgVitpkdkUo.mkv 49.6 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24-bGCafQT5h1s.mkv 49.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 10 Quick Sort Code-4IE3wIXFVPc.mkv 49.4 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.5.1 Work, Work, Work-yTca2zd9XkU.mkv 49.4 MB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.2 The Geometric Series-OX-9dHs4u-Q.mkv 48.9 MB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Documentation-LO9Hs09BbZQ.mkv 48.7 MB
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Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 20 - C++ Regex 2-NPccLyAHD6Y.mkv 48.2 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations-SEh3yhEFK1w.mkv 48.1 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 17 - Sequence Containers-KJWOm1bXUxM.mkv 48.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Priority Scheduling-yKD3pcFvGmY.mkv 47.9 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Remote Procedure Calls (RPC)-QmhTjsOOrlw.mkv 47.5 MB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Main Memory _ Chapter-8 _ Operating System-m7iXeDyFe4I.mkv 47.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion-0TyAhELFA90.mkv 47.1 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame.-Vi9wv6b3deU.mkv 47.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Spiral Model-z8CqlcPjmGE.mkv 46.9 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.2.1 Properties of Determinants-9NRmIEbuSq8.mkv 46.8 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.1 The Taylor and Maclaurin Series-xU4sUffRUks.mkv 46.4 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling (Turnaround Time & Waiting Time)-7TpxxTNrcTg.mkv 46.2 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started-UmljXZIypDc.mkv 46.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Structures of Operating System-XXPBl20J22w.mkv 46.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Dictionary-zKzcvLtKq0c.mkv 46.0 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions-A3Ffwsnad0k.mkv 46.0 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/User Operating System Interface-psDpbWscPuE.mkv 45.6 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Entity Relationship Model-p7GsjrXoW28.mkv 45.5 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.1.2 Modular Arithmetic-tBmuDlpQ0a8.mkv 45.5 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16-n3RqsMz3-0A.mkv 45.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java-195KUinjBpU.mkv 45.1 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Programming-qpUQpxpeixA.mkv 45.1 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9-KLGfMGsgP34.mkv 45.0 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae-ZJeBDVMbhJE.mkv 45.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Critical Path Analysis-6e_GCocYNv8.mkv 44.7 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.1 Revisiting Recursive Definitions-j-7BQ6V5ZPo.mkv 44.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Metrics and Measures-bnydxXPN_rI.mkv 44.0 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation.-7k9nCLrHipQ.mkv 43.9 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Programming R Squared - Practical Machine Learning Tutorial with Python p.11-QUyAFokOmow.mkv 43.9 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - First Come First Served (FCFS)-7DoP1L9nAAs.mkv 43.6 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Black Box Testing-5KQQtXGBBiA.mkv 43.5 MB
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Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.2 Change of Variables for Indefinite Integrals-UBh35F_4tnU.mkv 43.2 MB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.3 Related Rates - Modeling with Triangles-0Pm0vSLJOq0.mkv 43.2 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/First Come First Served Scheduling (Solved Problem 1)-VSMAjMfJ6KQ.mkv 43.2 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Operating System-vBURTt97EkA.mkv 43.1 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals-rAxXcX_w5fE.mkv 43.0 MB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes-a48xeeo5Vnk.mkv 42.9 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Quality Attributes-TT_rUCMTmhg.mkv 42.7 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.1 Matrices and Matrix Operations-dLm1pglDFHA.mkv 42.6 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Intro-3joOQ3A3KBQ.mkv 42.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Overview of Software Engineering-ITlyBV4ttts.mkv 42.4 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Sockets in Operating System-uagKTbohimU.mkv 42.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Round Robin Scheduling-YzBBJYfwdi8.mkv 42.0 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence-ToEWg269oV0.mkv 41.9 MB
Year 3/Semester 6/1. Non-relational Databases/An Introduction To NoSQL Databases-uD3p_rZPBUQ.mkv 41.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 9 Quick Sort Worst Case-auclbmnm4iA.mkv 41.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Resource Management-u3Y71H98AZU.mkv 41.5 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro - Training a neural network to play a game with TensorFlow and Open AI-3zeg7H6cAJw.mkv 41.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation Techniques-QYhcTULL1tU.mkv 41.3 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.1 Represent Functions with the Geometric Power Series-JxZV7XLLFRg.mkv 41.2 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.7.1 Fluid Pressure and Fluid Force-G62RLNbZhmw.mkv 41.2 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Queue Scheduling Algorithm-fvkSXMZaBNY.mkv 40.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cyclomatic Complexity Measures-ihkUVzUzztY.mkv 40.6 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Halstead’s Complexity Measures-2bjMmjOwSuE.mkv 40.6 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals-XLbK4qxmuMk.mkv 40.5 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables-tj_98IO-lCk.mkv 40.4 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/E-Type Software Evolution--dCJi82Euco.mkv 40.2 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.4.1 First Order Linear Differential Equations--N0cJkC64-E.mkv 40.2 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.1 Prime Numbers and Their Properties-uuoxgAAikH4.mkv 40.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration--mjWOV6Ye84.mkv 39.8 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics Tips & Tricks - Hamming Distance-QklZXyR7Q6M.mkv 39.6 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.3 Negating and Translating with Quantifiers-8eCZ1suibCw.mkv 39.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured English-aLwtxmJ5ZgI.mkv 39.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Why Kernels - Practical Machine Learning Tutorial with Python p.30-xqg5S-GrrDQ.mkv 39.4 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.2 Operations with The Geometric Power Series-dok7tLtNFn8.mkv 39.4 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Memory _ Chapter-9 _ Operating System-rZIVS3eUDrw.mkv 39.3 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.1 Finding Arc Length-NL7RrQ40y5A.mkv 39.3 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/V Model-5jJ_PBX3XsE.mkv 39.3 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate-F1sIkFyteqE.mkv 39.2 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Windows-kI5x9TEz3qk.mkv 39.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.1 Plane Curves and Parametric Equations-CK8pTQoav3g.mkv 39.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.1 The Power Series L=0 or L=Inf-u5k5Iy9My7Q.mkv 39.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 2 Big Oh Notation-vsgrJrphEHo.mkv 39.0 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shared Memory Systems-uHtzOFwgD74.mkv 39.0 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling - Solved Problem (Part 1)-QlCmgBOMjlI.mkv 38.9 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Project Management-FCn0xVZQx3w.mkv 38.8 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.1 Vector Spaces-QMwwplztQfY.mkv 38.6 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage.-J72gVimVadQ.mkv 38.3 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Install C++ & NetBeans-DamuE8TM3xo.mkv 38.2 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Rapid Application Development (RAD)-yngKRepAgSg.mkv 38.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Criteria-bWHFY8-rL5I.mkv 38.1 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.1 The Log Rule for Integration-OPb0EuFmBOU.mkv 38.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Requirements-8uk-2-mX53U.mkv 37.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree-M6lYob8STMI.mkv 37.9 MB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 State Machine Diagrams-_6TFVzBW7oo.mkv 37.8 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine-3ibCta5SH7Q.mkv 37.8 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.3 Proving Set Identities-tRknuaNSlrU.mkv 37.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scrum Development Model-Txz-Tnm_aSM.mkv 37.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 2 Selection Sort-fgYlVyrt1vE.mkv 37.5 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.2 Column Spaces-2L0qOtgu9eE.mkv 37.5 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.1 Inverse Trigonometric Functions-uLP9F1-05Kw.mkv 37.5 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.2 Quantifiers-DpcUJrYTduc.mkv 37.4 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Incremental Model-0r2yu-8RdEA.mkv 37.3 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Oriented Design-63dQN4yN9eY.mkv 37.3 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.1 Proof by Cases-dheuJkuSNyI.mkv 37.3 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Approaches-J5jM4wquM3Q.mkv 37.2 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management-fbwmAzPY8tE.mkv 37.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Table-B4vqVDeERhI.mkv 37.1 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.2.1 Row Reduction and Echelon Forms-7xtAYrAtuPc.mkv 37.1 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.1 Nested Quantifiers and Negations-Jth7m3j8uGA.mkv 36.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 6 Exceptions-i59ZamvhmaU.mkv 36.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software User Interface Design-Ky_80dA7mD0.mkv 36.8 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides.-Wkx0fI4e0fs.mkv 36.5 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.1 The Fundamental Theorem of Calculus-3u-8LNMiHbA.mkv 36.3 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.2 Recurrence Relations-QaAQ-bKCUME.mkv 36.3 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.2 The Spanning Set Theorem-atwUmR-qpfk.mkv 36.2 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.1 The Ratio Test-uSsHlOb2wPA.mkv 36.2 MB
Year 1/Semester 2/1. Calculus part 2/Calclulus II - 10.1.2 Parabolas-b0O96OOOC9w.mkv 36.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Recursion-neuDuf_i8Sg.mkv 36.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Structure-fvN98a_7AT4.mkv 36.0 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.1 Increasing and Decreasing Intervals-oMWaVs5yxdo.mkv 36.0 MB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree 2-UcOxGmj45AA.mkv 35.5 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.5.1 Least Squares Problems-o0N5VVX6K9Y.mkv 35.5 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31-JHaqodAQqiI.mkv 35.4 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.2 Rules of Inference for Quantified Statements-zMtToQelLN8.mkv 35.3 MB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Mac-SKV0npCFxFs.mkv 35.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.1 The Limit of a Sequence-dsjOpoGcs9Q.mkv 35.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.2.1 Integration by Parts-Ex8u3OhqllY.mkv 35.0 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.2 Subspace of a Vector Space-2Ee2B1Jp5ZE.mkv 34.9 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.1 Eigenvectors and Eigenvalues-yh5ABTeNUpE.mkv 34.7 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.1 General and Particular Solutions to Differential Equations-564pn3CaoyQ.mkv 34.6 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 1)-Z2KsfhEJOFA.mkv 34.4 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10-hWgGJeAvLws.mkv 34.3 MB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Counting DNA Nucleotides-bqclD2nLmQ8.mkv 34.2 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/System Calls-lhToWeuWWfw.mkv 34.2 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 6 The Rotate method-IuG3WSaDumc.mkv 34.1 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.2 Structural Induction-m1f0k-sDPG4.mkv 34.0 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (I_O Structure)-F18RiREDkwE.mkv 34.0 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.3 Ellipses-pgcsQr8lKCg.mkv 33.9 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.1 Find the Slope of a Tangent Line-zCxbsCbgAKo.mkv 33.9 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 2 Complete and Full-Lta807sEOQY.mkv 33.9 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.2 Optimization Practice-Q5CrW8yQo-0.mkv 33.8 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.2 Surfaces of Revolution-VXfhAt3iphY.mkv 33.8 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.1 Systems of Linear Equations-LHsPJ2bQX1U.mkv 33.7 MB
Year 2/Semester 3/1. Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy-AOsWph2FNLw.mkv 33.4 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections-zEKfcK6A_Rg.mkv 33.2 MB
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Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Timing Diagrams-F3yROOhK8qk.mkv 32.9 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Interprocess Communication-dJuYKfR8vec.mkv 32.7 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 4 Insertion Sort Code-3U2vTqaL7uE.mkv 32.6 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.1 Linearly Independent Sets and Bases-lOyFbpemz58.mkv 32.6 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Context Switch-vTgccrbYHYs.mkv 32.6 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.4.2 The Limit Comparison Test-vrdEFULYkL8.mkv 32.4 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.3 Constructing New Logical Equivalences-u5y1zte2w_4.mkv 32.4 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 2 Add Remove-7KhYwHfx40U.mkv 32.3 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse-bZ275aLiypo.mkv 32.3 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.1 Null Spaces-Dn7pcKMrU0s.mkv 32.2 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cost of Maintenance-Tq2p3eegguI.mkv 32.0 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Characteristics of Good Software-ehuYDUUuRio.mkv 31.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Manager-kXuzVl1Eo-E.mkv 31.7 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.1 Optimization Problems-LnXewON-ifk.mkv 31.7 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions-yFPwq0jlGt4.mkv 31.6 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.2 The Logistic Differential Equation-Aw5fxCLXNco.mkv 31.4 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.2 Curve Sketching - Full Practice-hahDwDNirpc.mkv 31.2 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.1 Basic Differentiation Rules-hbiX_8jPtB0.mkv 31.1 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.1 Homogeneous System Solutions-ODOztJ6YRUM.mkv 31.0 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.1 The Integral Test-QKjOOwzJsc4.mkv 30.9 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.3 Absolute and Conditional Convergence-rxA0wACkVao.mkv 30.8 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Design-nzLvmyBgOfk.mkv 30.7 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.1 Introduction to Sequences-x2Ul4NtyoHw.mkv 30.7 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Decision Tables-lOpmv4WpJbM.mkv 30.5 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 3 - Classes--qjrcxVmf2Q.mkv 30.5 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 1 Introduction and Tree levels-BzQGPA_v-vc.mkv 30.5 MB
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Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Deployment Diagrams-nTtQwGoUUNc.mkv 30.4 MB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Process State-jZ_6PXoaoxo.mkv 24.7 MB
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Year 2/Semester 3/1. Probability/Dependent probability example 2 _ Probability and Statistics _ Khan Academy-7BkcNLOf56w.mkv 22.8 MB
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Year 2/Semester 3/1. Probability/Conditional probability and combinations _ Probability and Statistics _ Khan Academy-xw6utjoyMi4.mkv 22.2 MB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.3 The Derivative of the Natural Logarithmic Function-ZWnFz0dQVmc.mkv 21.3 MB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.2 Non-Homogeneous System Solutions-jsyutdYtOc4.mkv 20.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12-7Wq-QmMT4gM.mkv 20.0 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/CPU and I_O Burst Cycles-pVzb3TUcDLo.mkv 19.9 MB
Year 2/Semester 3/1. Probability/Expected value of binomial distribution _ Probability and Statistics _ Khan Academy-SqcxYnNlI3Y.mkv 19.8 MB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Machines-daDbY2iDmU0.mkv 19.6 MB
Year 2/Semester 3/1. Probability/Finding probability example 2 _ Probability and Statistics _ Khan Academy-mLE-SlOZToc.mkv 19.6 MB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.1 The Alternating Series Test-cgxK4PH1XMY.mkv 19.5 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.2 The Best Approximation Theorem-tDAH7TZICT8.mkv 19.4 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues-g4pC_MQagg8.mkv 19.4 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples-zEdovJYAGwU.mkv 19.3 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow-Vk5Iun6sxhM.mkv 19.2 MB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space-lgKR0iJi7Ww.mkv 18.6 MB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.2 Introduction to Linear Transformations-ofAcvZVEfBk.mkv 18.5 MB
Year 2/Semester 3/1. Probability/Addition rule for probability _ Probability and Statistics _ Khan Academy-QE2uR6Z-NcU.mkv 18.4 MB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.2 Special Ways to Determine Linear Independence-EdLoNRo0s28.mkv 18.2 MB
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Year 2/Semester 3/1. Probability/Dependent probability example _ Probability and Statistics _ Khan Academy-xPUm5SUVzTE.mkv 17.6 MB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22-VngCRWPrNNc.mkv 17.3 MB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.1 An Introduction to Conic Sections-2g_1--LXlM4.mkv 16.3 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.4 Optimization Algorithms-MWaJuoFwyv8.mkv 16.3 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.1 Riemann Sums-xeyfJ-WktOQ.mkv 16.2 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.2 The p-Series-VGDWIOdrpV4.mkv 16.1 MB
Year 2/Semester 3/1. Probability/Free throwing probability _ Probability and Statistics _ Khan Academy-iMqCSgqzmiQ.mkv 16.1 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.3 Find Extrema on a Closed Interval-yhEZ5qxBrLY.mkv 16.1 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility-OP3l8VUEE-8.mkv 16.0 MB
Year 2/Semester 3/1. Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy-Jkr4FSrNEVY.mkv 16.0 MB
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Year 2/Semester 3/1. Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy-9G0w61pZPig.mkv 15.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 10 number of black nodes-ikvNJkKJr_o.mkv 15.8 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.1 Orthogonal Decomposition Theorem-fkWCkdBualw.mkv 15.8 MB
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Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.3 Simplifying Derivatives-ulDOTjVG4V8.mkv 15.3 MB
Year 2/Semester 3/1. Probability/Probability without equally likely events _ Probability and Statistics _ Khan Academy-RI874OSJp1U.mkv 15.1 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.2 Orthogonal Vectors-4yNrSg7b4JA.mkv 15.0 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.3 Introduction to Logic Circuits-iyHXkQIbOUI.mkv 15.0 MB
Year 2/Semester 3/1. Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy-mkyZ45KQYi4.mkv 14.9 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.3 The Euclidean Algorithm-5LhWIaWlprM.mkv 14.9 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Control Block-4s2MKuVYKV8.mkv 14.8 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.1 A Preview of Calculus-8NIsIW5nf4Y.mkv 14.8 MB
Year 2/Semester 3/1. Probability/Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy-PddbEVNMgTY.mkv 14.6 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.3 Applications of Bases Other than e-XacAqmeVBuI.mkv 14.6 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.2 Finding Parametric Equations-SVRAgdtNTvQ.mkv 14.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/CASE Tools-_74Nra8h5Go.mkv 14.3 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.1 Finding The Area Under a Curve-g-l13hjukiI.mkv 14.3 MB
Year 2/Semester 3/1. Probability/Poisson process 1 _ Probability and Statistics _ Khan Academy-3z-M6sbGIZ0.mkv 14.2 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.2 The Root Test-z85YBJUiu9s.mkv 14.2 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.3 Higher Order Derivatives-uEX4Ufm7AlY.mkv 14.1 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.1 Introduction to Functions-BaaC0IOkfWI.mkv 14.1 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws-aXobNQArW64.mkv 14.1 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors-Ju6Z90Spme0.mkv 14.0 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/R Squared Theory - Practical Machine Learning Tutorial with Python p.10--fgYp74SNtk.mkv 14.0 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.1 Extrema of a Function on an Interval-toNQxJhXbmY.mkv 14.0 MB
Year 2/Semester 3/1. Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy-8TIben0bJpU.mkv 13.7 MB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle)-Oa2E7MbUThE.mkv 13.7 MB
Year 2/Semester 3/1. Probability/Binomial Distribution 2-FI8xtVaI068.mkv 13.7 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.3 Applications Involving the Area Between Two Curves-NksmQNMEZ3A.mkv 13.7 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.4 The Intermediate Value Theorem-Dyvle5Cgw3g.mkv 13.6 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal-UJrrXUkQyCc.mkv 13.6 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 8 leftRightRotate-4I_vnGpS-Io.mkv 13.4 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.3.1 Characterizations of Invertible Matrices-Ht2Zl0Hfg_I.mkv 13.3 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions-g2jx2vAAie0.mkv 13.2 MB
Year 2/Semester 3/1. Probability/Introduction to Random Variables-IYdiKeQ9xEI.mkv 13.2 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.3 The Second Derivative Test-xIkm1CXpmL4.mkv 13.2 MB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.2 Matrix Operations on your TI-84-Hfdo5DGS2jk.mkv 13.1 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.3 Summations and Sigma Notation-w9zIex42wnY.mkv 13.0 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.2 Proof by Contraposition-vMwejR0bqwo.mkv 12.9 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.1 Implicit and Explicit Functions-I0JjW7JkiGk.mkv 12.7 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.3 Properties of Definite Integrals-ePTEdW4xj5o.mkv 12.5 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.2 The General Power Rule-aXx8VaG3zFo.mkv 12.5 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Engineering Basics-4b1D1QFEel0.mkv 12.3 MB
Year 2/Semester 3/1. Probability/Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy-W7DmsJKLoxc.mkv 12.3 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.2 Continuity on Closed Intervals-BDMzVx2LV-0.mkv 12.2 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression How it Works - Practical Machine Learning Tutorial with Python p.7-V59bYfIomVk.mkv 12.1 MB
Year 2/Semester 3/1. Probability/Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy-uzkc-qNVoOk.mkv 12.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Deadlocks _ Chapter-7 _ Operating System-KrbjE6IRrM4.mkv 12.1 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.2 Integrate Using the Completing the Square Technique-YItr1wnGcAg.mkv 12.1 MB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Synchronization _ Chapter-6 _ Operating System-EOGyyyzmEGw.mkv 12.0 MB
Year 2/Semester 3/1. Probability/Combinations-bCxMhncR7PU.mkv 12.0 MB
Year 2/Semester 3/1. Probability/Probability (part 8)-VVr8snbaxZg.mkv 11.9 MB
Year 2/Semester 3/1. Probability/Permutations-XqQTXW7XfYA.mkv 11.8 MB
Year 2/Semester 3/1. Probability/Probability density functions _ Probability and Statistics _ Khan Academy-Fvi9A_tEmXQ.mkv 11.7 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.4 The Second Fundamental Theorem of Calculus-HwBskK0WbJs.mkv 11.7 MB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere)-uxieCe3otPM.mkv 11.6 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem-5MaW99om2v4.mkv 11.5 MB
Year 2/Semester 3/1. Probability/Probability using combinations _ Probability and Statistics _ Khan Academy-Xqfcy1rqMbI.mkv 11.5 MB
Year 3/Semester 6/2. Introduction to Deep Learning/Barack Obama - Intro to Deep Learning _ MIT 6.S191-l82PxsKHxYc.mkv 11.4 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.3 Integrals of the Natural Exponential Function-z740Ovp-3xA.mkv 11.1 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 5 Autoboxing-PN-E2QkgY84.mkv 10.8 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.2 Points of Inflection-QrxGozcFxXg.mkv 10.5 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.2 The Mean Value Theorem for Integrals-NXXVUeW31Qg.mkv 10.2 MB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Understanding Vectors - Practical Machine Learning Tutorial with Python p.21-HHUqhVzctQE.mkv 10.0 MB
Year 2/Semester 3/1. Probability/Law of large numbers _ Probability and Statistics _ Khan Academy-VpuN8vCQ--M.mkv 10.0 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.1 Determine Finite Limits at Infinity-hJ1rhSj6-0I.mkv 9.9 MB
Year 2/Semester 3/1. Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy-gyqodNhM3EU.mkv 9.8 MB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Welcome to Data Structures-zgCnMvvw6Oo.mkv 9.8 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.1 Determine Infinite Limits-w8QAIecvMnU.mkv 9.7 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.2 The Concept of Area-AEW-9gw4Ocs.mkv 9.6 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.1 Indeterminate Forms-sGGFLgaZLns.mkv 9.5 MB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.2 Rank-1MYkWhpuLtY.mkv 9.4 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Brings Simply Easy Learning-lezQQ0d1pxc.mkv 8.9 MB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.4 Useful Functions to Know-_a9veRNS78w.mkv 8.9 MB
Year 2/Semester 3/1. Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy-xSc4oLA9e8o.mkv 8.2 MB
Year 2/Semester 3/1. Probability/Exactly three heads in five flips _ Probability and Statistics _ Khan Academy-udG9KhNMKJw.mkv 8.1 MB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.2 Slope Fields-a-twqOEqkdA.mkv 7.9 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.3 Properties of Continuity-niSjuhVjb6k.mkv 7.5 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.3 Find the Inverse of a Function-jOElzjxX9DI.mkv 6.9 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.2 Basic Integration Rules-8TcwW0mhdAY.mkv 6.8 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.2 The Number e-N7Z-k6E47KY.mkv 6.1 MB
Year 2/Semester 3/1. Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy-NSSoMafbBqQ.mkv 6.0 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.2 Derivatives of the Natural Exponential Function-g3e04zUBHWU.mkv 5.5 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.3 The Average Value of a Function-PjSGp4XsY0E.mkv 5.4 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.2 Derivatives of Trigonometric Functions-ic3SMMxLoW8.mkv 5.4 MB
Year 2/Semester 3/1. Probability/Frequency stability property short film _ Computer Science _ Khan Academy-vVXbgbMp0oY.mkv 5.1 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.4 Trigonometric Functions and the Chain Rule-h5NLTIA76nU.mkv 4.8 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.4 Determine Infinite Limits at Infinity-kMo0hLq__Zw.mkv 4.4 MB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.2 Integrals of Trigonometric Functions-GYl2waBxN1g.mkv 4.1 MB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Simply Easy Learning Steps-1iJn6quPp50.mkv 3.1 MB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III-Hg_uyWezMM0.info.json 729.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 9 - Approx_Estimation Error & ERM _ Stanford CS229 - Machine Learning (Autumn 2018)-iVOxMcumR4A.info.json 724.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/20. Precision Medicine-kZrb6ZIwJqg.info.json 713.3 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-IYMYI9AJpQs.info.json 711.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-nH4rn3X8i0c.info.json 709.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 3 - GFS-EpIgvowZr00.info.json 704.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 8 - Data Splits, Models & Cross-Validation _ Stanford CS229 - Machine Learning (Autumn 2018)-rjbkWSTjHzM.info.json 704.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 10 - Decision Trees and Ensemble Methods _ Stanford CS229 - Machine Learning (Autumn 2018)-wr9gUr-eWdA.info.json 694.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/8. Natural Language Processing (NLP), Part 2-lkO2ocJBsmI.info.json 694.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 7 - Kernels _ Stanford CS229 - Machine Learning (Autumn 2018)-8NYoQiRANpg.info.json 690.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 19 - Reward Model & Linear Dynamical System _ Stanford CS229 - Machine Learning (Autumn 2018)-0rt2CsEQv6U.info.json 686.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation-dRIhrn8cc9w.info.json 686.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/10. Application of Machine Learning to Cardiac Imaging-MoEaRpLNo9A.info.json 686.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 14 - Expectation-Maximization Algorithms _ Stanford CS229 - Machine Learning (Autumn 2018)-rVfZHWTwXSA.info.json 681.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 18 - Continous State MDP & Model Simulation _ Stanford CS229 - Machine Learning (Autumn 2018)-QFu5nuc-S0s.info.json 680.3 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019-tZ_Jrc_nRJY.info.json 676.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 15 - EM Algorithm & Factor Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-tw6cmL5STuY.info.json 675.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/6. Physiological Time-Series-lLhfDSOwWtU.info.json 675.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 17 - MDPs & Value_Policy Iteration _ Stanford CS229 - Machine Learning (Autumn 2018)-d5gaWTo6kDM.info.json 672.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/11. Differential Diagnosis-VuKOW8d4KHw.info.json 670.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley)-uvE_HeNHTzI.info.json 665.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley)-eG_d-rGt-Z8.info.json 664.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 16 - Independent Component Analysis & RL _ Stanford CS229 - Machine Learning (Autumn 2018)-YQA9lLdLig8.info.json 663.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley)-KRenWKpfGo4.info.json 659.3 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tXIO8JNwCi0.info.json 658.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/25. Interpretability-wDLzLN1tArA.info.json 657.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/16. Reinforcement Learning, Part 1-YZ5pOgY5hEE.info.json 652.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/23. Fairness-zYgkr0KfWM0.info.json 651.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 12 - Backprop & Improving Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-zUazLXZZA2U.info.json 651.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley)-5D6-Br8PgMQ.info.json 649.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley)-FXFmy6JWj1E.info.json 647.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley)-1ADOHPV8mN4.info.json 646.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley)-hry_qqXLej8.info.json 645.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley)-EtkggozKpGQ.info.json 644.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley)-Vq4kd_jlnGk.info.json 643.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-JXtH_ABQFX0.info.json 643.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/7. Natural Language Processing (NLP), Part 1-IiD3YZkkCmE.info.json 641.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley)-r_SpMPgK2X0.info.json 640.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019-WXLb4h2A724.info.json 639.5 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-M_VPUF9ResU.info.json 638.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley)-XMcNhZZwlL4.info.json 637.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley)-h1Ygos9lDfE.info.json 635.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019-lzBB7xoZ3Q8.info.json 634.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley)-MMB2wVyI_LI.info.json 633.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley)-COwyx_APxRE.info.json 632.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley)-uVKyubtOWr0.info.json 625.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley)-UnDajgiVmic.info.json 620.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 20 - RL Debugging and Diagnostics _ Stanford CS229 - Machine Learning (Autumn 2018)-pLhPQynL0tY.info.json 620.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley)-LsRXYEc-yDM.info.json 618.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley)-Pk1E3Iod7eQ.info.json 618.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley)-DRGr3tFtHiQ.info.json 617.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks-i59JDQ9hk10.info.json 611.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019-YygGzfkhtJc.info.json 610.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/19. Disease Progression Modeling and Subtyping, Part 2-aJqgO8e37_g.info.json 609.7 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-O1Xh3H1uEYY.info.json 604.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley)-UzmUAA8qFaM.info.json 602.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley)-DaOLlnOV0s0.info.json 587.9 kB
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Year 4/Semester 7/2. Natural Language Understanding/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019-C5bdflsg7rs.info.json 576.4 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations.-3eBIHdyGJLQ.info.json 199.4 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Intro-3joOQ3A3KBQ.info.json 152.2 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems-kKyrR0cFrEg.mkv_4.jpg 142.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals-ZWYnYH-NnzY.info.json 142.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.2 Non-Homogeneous System Solutions-jsyutdYtOc4.info.json 142.1 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.2 Definite Integrals-YFEk1YI3lwk.info.json 136.9 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.2 Polar Graphs-iyMHXLC6GCQ.info.json 134.3 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/6. Genome Assembly-ZYW2AeDE6wU.mkv_4.jpg 131.6 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks-i59JDQ9hk10.mkv_4.jpg 130.1 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.1 The Dimension of a Vector Space-jk6YPdIIJUg.info.json 125.0 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.2 Introduction to Linear Transformations-ofAcvZVEfBk.info.json 124.6 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.1 Determinants and the IMT-XMWBC5_rFpI.info.json 124.2 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/20. Human Genetics, SNPs, and Genome Wide Associate Studies-KYQ2dPW5nEU.mkv_4.jpg 115.1 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Waterfall Model-fN6JgY6BEFs.info.json 89.0 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Programming R Squared - Practical Machine Learning Tutorial with Python p.11-QUyAFokOmow.mkv_4.jpg 88.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6-za5s7RB_VLw.mkv_4.jpg 88.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Deep Learning with Neural Networks and TensorFlow Introduction-oYbVFhK_olY.mkv_4.jpg 88.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41-P-iAd8b7zl4.mkv_4.jpg 88.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 4 TrickleDown-jHZu1GV27tI.info.json 88.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Custom K Means - Practical Machine Learning Tutorial with Python p.37-H4JSN_99kig.mkv_4.jpg 88.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Dictionary-zKzcvLtKq0c.info.json 88.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3-lN5jesocJjk.mkv_4.jpg 88.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables-shrTfDUB9Hk.mkv_4.jpg 87.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees and heaps 1 Introduction-lhTCSGRAlXI.info.json 87.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8-SvmueyhSkgQ.mkv_4.jpg 87.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Assumptions - Practical Machine Learning Tutorial with Python p.12-Kpxwl2u-Wgk.mkv_4.jpg 87.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing CPU and GPU TensorFlow on Windows-r7-WPbx8VuY.mkv_4.jpg 87.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion-Le8qzbDhunE.mkv_4.jpg 87.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode-NGGkOa35Sm8.mkv_4.jpg 87.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Intro - Practical Machine Learning Tutorial with Python p.2-JcI5Vnw0b2c.mkv_4.jpg 87.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.1 Indeterminate Forms-sGGFLgaZLns.info.json 87.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Practical Machine Learning Tutorial with Python Intro p.1-OGxgnH8y2NM.mkv_4.jpg 87.0 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14-1i0zu9jHN6U.mkv_4.jpg 86.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 2 Selection Sort-fgYlVyrt1vE.info.json 86.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28-yrnhziJk-z8.mkv_4.jpg 86.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using More Data - Deep Learning with Neural Networks and TensorFlow part 8-JeamFbHhmDo.mkv_4.jpg 86.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.1 Determine Finite Limits at Infinity-hJ1rhSj6-0I.info.json 86.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Charts-vdUO-sGA1DA.info.json 86.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/R Squared Theory - Practical Machine Learning Tutorial with Python p.10--fgYp74SNtk.mkv_4.jpg 86.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Optimization - Practical Machine Learning Tutorial with Python p.27-VhHLpg7ZS4Q.mkv_4.jpg 86.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.3 - The Addition Rule for Probability-mmWxtSx03JI.mkv_4.jpg 86.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9-KLGfMGsgP34.mkv_4.jpg 86.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Metrics and Measures-bnydxXPN_rI.info.json 86.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cyclomatic Complexity Measures-ihkUVzUzztY.info.json 86.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Black Box Testing-5KQQtXGBBiA.info.json 86.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running our Network - Deep Learning with Neural Networks and TensorFlow-PwAGxqrXSCs.mkv_4.jpg 86.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Communication Management-0q-ZVshvypU.info.json 85.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow-BhpvH5DuVu8.mkv_4.jpg 85.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5-QLVMqwpOLPk.mkv_4.jpg 85.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Resource Management-u3Y71H98AZU.info.json 85.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Entity Relationship Model-p7GsjrXoW28.info.json 85.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23-ZDu3LKv9gOI.mkv_4.jpg 85.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5-7fcWfUavO7E.mkv_4.jpg 85.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Spiral Model-z8CqlcPjmGE.info.json 85.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7-6rDWwL6irG0.mkv_4.jpg 85.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.2 The Concept of Area-AEW-9gw4Ocs.info.json 84.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Understanding Vectors - Practical Machine Learning Tutorial with Python p.21-HHUqhVzctQE.mkv_4.jpg 84.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24-bGCafQT5h1s.mkv_4.jpg 84.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31-JHaqodAQqiI.mkv_4.jpg 84.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19-r_D5TTV9-2c.mkv_4.jpg 84.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13-44jq6ano5n0.mkv_4.jpg 84.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.2 - Introduction to Probability-_EpXHuPnaK0.mkv_4.jpg 84.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191-8Kn4Gi8iSYQ.mkv_4.jpg 84.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Overview of Software Engineering-ITlyBV4ttts.info.json 83.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.2 Slope Fields-a-twqOEqkdA.info.json 83.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Euclidean Distance - Practical Machine Learning Tutorial with Python p.15-hl3bQySs8sM.mkv_4.jpg 83.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Training - Practical Machine Learning Tutorial with Python p.26-QAs2olt7pJ4.mkv_4.jpg 83.8 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Critical Path Analysis-6e_GCocYNv8.info.json 83.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.3 Properties of Continuity-niSjuhVjb6k.info.json 83.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1-CvspEt8kSIg.mkv_4.jpg 83.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Programming-qpUQpxpeixA.info.json 82.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Clustering Introduction - Practical Machine Learning Tutorial with Python p.34-ZueoXMgCd1c.mkv_4.jpg 82.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Why Kernels - Practical Machine Learning Tutorial with Python p.30-xqg5S-GrrDQ.mkv_4.jpg 82.8 kB
Year 2/Semester 3/1. Probability/Conditional probability and combinations _ Probability and Statistics _ Khan Academy-xw6utjoyMi4.mkv_4.jpg 82.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.3 Find the Inverse of a Function-jOElzjxX9DI.info.json 82.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Criteria-bWHFY8-rL5I.mkv_4.jpg 82.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 4 Expression Trees-V9oTubnyb0Y.info.json 82.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14-NMd7WjZiCzc.mkv_4.jpg 82.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12-7Wq-QmMT4gM.mkv_4.jpg 82.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40-TO8I-nggpzs.mkv_4.jpg 82.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Rapid Application Development (RAD)-yngKRepAgSg.info.json 82.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Kernels Introduction - Practical Machine Learning Tutorial with Python p.29-9IfT8KXX_9c.mkv_4.jpg 82.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.2 Basic Integration Rules-8TcwW0mhdAY.info.json 81.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/E-Type Software Evolution--dCJi82Euco.info.json 81.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms – Solved Problems-g6QjVDyGgSE.mkv_4.jpg 81.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Quality Attributes-TT_rUCMTmhg.info.json 81.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2-pnSBZ6TEVjY.mkv_4.jpg 81.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured English-aLwtxmJ5ZgI.info.json 81.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Requirements-8uk-2-mX53U.info.json 81.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Oriented Design-63dQN4yN9eY.info.json 81.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (I_O Structure)-F18RiREDkwE.mkv_4.jpg 81.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software User Interface Design-Ky_80dA7mD0.info.json 81.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12a - Neural Nets-uXt8qF2Zzfo.mkv_4.jpg 81.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Priority Scheduling-yKD3pcFvGmY.mkv_4.jpg 80.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Approaches-J5jM4wquM3Q.info.json 80.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13-mynJtLhhcXk.mkv_4.jpg 80.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scrum Development Model-Txz-Tnm_aSM.info.json 80.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Command Line Interface (CLI)-4aEETgIA_Wo.info.json 80.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Generation and System Boot-wD0PrF3fGSY.mkv_4.jpg 80.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/RNN Example in Tensorflow - Deep Learning with Neural Networks 11-dFARw8Pm0Gk.mkv_4.jpg 80.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Project Management-FCn0xVZQx3w.info.json 80.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Incremental Model-0r2yu-8RdEA.info.json 80.0 kB
Year 2/Semester 3/1. Probability/Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy-obZzOq_wSCg.mkv_4.jpg 79.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Remote Procedure Calls (RPC)-QmhTjsOOrlw.mkv_4.jpg 79.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation Techniques-QYhcTULL1tU.info.json 79.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 4 Insertion Sort Code-3U2vTqaL7uE.info.json 79.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 8 leftRightRotate-4I_vnGpS-Io.info.json 79.1 kB
Year 4/Semester 8/4. Self-Driving Cars/Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars--j0tc0Y1CIE.mkv_4.jpg 79.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.3 The Average Value of a Function-PjSGp4XsY0E.info.json 79.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.2 The Number e-N7Z-k6E47KY.info.json 78.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/4. Comparative Genomic Analysis of Gene Regulation-14m9MW-qMhg.mkv_4.jpg 78.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management-fbwmAzPY8tE.info.json 78.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.2 Derivatives of Trigonometric Functions-ic3SMMxLoW8.info.json 78.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R7. Near Misses, Arch Learning-J-ocRQCjcwE.mkv_4.jpg 78.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/15. Learning - Near Misses, Felicity Conditions-sh3EPjhhd40.mkv_4.jpg 77.6 kB
Year 2/Semester 3/1. Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy-8TIben0bJpU.mkv_4.jpg 77.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Preemptive and Non-Preemptive Scheduling-4DhFmL-6SDA.mkv_4.jpg 77.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/10. Introduction to Learning, Nearest Neighbors-09mb78oiPkA.mkv_4.jpg 76.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/4. Search - Depth-First, Hill Climbing, Beam-j1H3jAAGlEA.mkv_4.jpg 76.7 kB
Year 2/Semester 3/1. Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy-xSc4oLA9e8o.mkv_4.jpg 76.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.2 Derivatives of the Natural Exponential Function-g3e04zUBHWU.info.json 76.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 7 Merge Sort Code-jr10xrAFSEg.info.json 75.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Decision Tables-lOpmv4WpJbM.info.json 75.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cost of Maintenance-Tq2p3eegguI.info.json 75.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Characteristics of Good Software-ehuYDUUuRio.info.json 75.4 kB
Year 4/Semester 8/4. Self-Driving Cars/Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars-p5AtrKqQ3Fw.mkv_4.jpg 75.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Requirements-ryFB-Tl3ZEk.info.json 74.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Design-nzLvmyBgOfk.info.json 74.6 kB
Year 2/Semester 3/1. Probability/Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy-W7DmsJKLoxc.mkv_4.jpg 74.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation-D6EzBdAbT2Q.mkv_4.jpg 74.3 kB
Year 4/Semester 8/4. Self-Driving Cars/Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars-LSX3qdy0dFg.mkv_4.jpg 74.2 kB
Year 2/Semester 3/1. Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy-gyqodNhM3EU.mkv_4.jpg 74.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals-XLbK4qxmuMk.mkv_4.jpg 74.1 kB
Year 4/Semester 8/4. Self-Driving Cars/Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars-0fLSf3NO0-s.mkv_4.jpg 73.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Engineering-pi2nP3rXZ3k.info.json 73.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Approaches-Urphtihj-Bg.info.json 73.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Threads-LOfGJcVnvAk.mkv_4.jpg 73.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/10. Markov and Hidden Markov Models of Genomic and Protein Features-d5NMrA2HkG4.mkv_4.jpg 73.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Manual Vs Automated Testing-3J4-aCF37z0.info.json 73.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Termination-SFc3jt8t5rU.mkv_4.jpg 73.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Threading Issues [fork() & exec() System Calls]-o2Sf0GHWpmk.mkv_4.jpg 73.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU-io6Ajf5XkaM.mkv_4.jpg 73.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Levels-K7npUb4czqg.info.json 72.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Manager-kXuzVl1Eo-E.info.json 72.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/21. Probabilistic Inference I-A6Ud6oUCRak.mkv_4.jpg 72.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 5 Autoboxing-PN-E2QkgY84.info.json 72.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 3)-fViAyFLOYxU.mkv_4.jpg 72.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/HIPO Diagram-eqtnhKcYoHk.info.json 72.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Memory _ Chapter-9 _ Operating System-rZIVS3eUDrw.info.json 72.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Types of Maintenance-nA4ev7jM6ek.info.json 71.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/fork() and exec() System Calls-IFEFVXvjiHY.mkv_4.jpg 71.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Barack Obama - Intro to Deep Learning _ MIT 6.S191-l82PxsKHxYc.mkv_4.jpg 71.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.4 Trigonometric Functions and the Chain Rule-h5NLTIA76nU.info.json 71.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System-3NkxeDnLh4A.mkv_4.jpg 71.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables-tj_98IO-lCk.mkv_4.jpg 71.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals-zispJVm5Rdo.mkv_4.jpg 71.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars-dWSbItd0HEA.mkv_4.jpg 71.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3-ViO56ASqeks.mkv_4.jpg 71.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling (Turnaround Time & Waiting Time)-7TpxxTNrcTg.mkv_4.jpg 71.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Modularization-dah74-XZVXc.info.json 70.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Shortest Job First (SJF)-t0g9b3SJECg.mkv_4.jpg 70.6 kB
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Year 2/Semester 3/1. Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy-NSSoMafbBqQ.mkv_4.jpg 66.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Biologically Inspired Neural Networks (IBM)-4lY-oAY0aQU.mkv_4.jpg 65.6 kB
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Year 2/Semester 3/1. Probability/Frequency stability property short film _ Computer Science _ Khan Academy-vVXbgbMp0oY.mkv_4.jpg 65.3 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Maintenance Activities-X5cBc9z_Ibs.mkv_4.jpg 63.9 kB
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Year 2/Semester 3/1. Probability/Poisson process 1 _ Probability and Statistics _ Khan Academy-3z-M6sbGIZ0.mkv_4.jpg 63.8 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Golden Rules-gxQmn3_JMZ0.mkv_4.jpg 63.7 kB
Year 3/Semester 5/1. Databases (SQL)/Database Design Course - Learn how to design and plan a database for beginners-ztHopE5Wnpc.mkv_4.jpg 63.6 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 9 - More Replication, CRAQ-IXHzbCuADt0.mkv_4.jpg 63.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers-l_yWLAQg7LU.mkv_4.jpg 63.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 10 number of black nodes-ikvNJkKJr_o.info.json 63.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-AXf_C5qOm8o.mkv_4.jpg 63.5 kB
Year 2/Semester 3/1. Probability/Free throwing probability _ Probability and Statistics _ Khan Academy-iMqCSgqzmiQ.mkv_4.jpg 63.5 kB
Year 2/Semester 3/1. Probability/Probability using combinations _ Probability and Statistics _ Khan Academy-Xqfcy1rqMbI.mkv_4.jpg 63.5 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks-NVH8EYPHi30.mkv_4.jpg 62.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Quality Attributes-TT_rUCMTmhg.mkv_4.jpg 62.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Management (Processes and Threads)-OrM7nZcxXZU.mkv_4.jpg 62.5 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning-mNqVGB2HkXg.mkv_4.jpg 62.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 2)-gHKSmz-W0x0.mkv_4.jpg 62.1 kB
Year 2/Semester 3/1. Probability/Probability density functions _ Probability and Statistics _ Khan Academy-Fvi9A_tEmXQ.mkv_4.jpg 62.1 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Metrics and Measures-bnydxXPN_rI.mkv_4.jpg 62.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shortest Job First Scheduling (Solved Problem 1)-lpM14aWgl3Q.mkv_4.jpg 62.0 kB
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Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.4 Summation Properties and Formulas-Zi2sLtCO44A.mkv_4.jpg 61.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Requirements-ryFB-Tl3ZEk.mkv_4.jpg 61.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-93CVEOXM3T4.mkv_4.jpg 61.7 kB
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Year 2/Semester 3/1. Probability/Expected value of binomial distribution _ Probability and Statistics _ Khan Academy-SqcxYnNlI3Y.mkv_4.jpg 61.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Elicitation Techniques-1UEzc2E71Hk.mkv_4.jpg 61.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Graphical User Interface-O2xzkCgV0PY.mkv_4.jpg 61.4 kB
Year 2/Semester 3/1. Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy-9G0w61pZPig.mkv_4.jpg 61.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Critical Path Analysis-6e_GCocYNv8.mkv_4.jpg 61.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R5. Support Vector Machines-6nDqY8MPLDM.mkv_4.jpg 61.3 kB
Year 2/Semester 3/1. Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy-Jkr4FSrNEVY.mkv_4.jpg 61.1 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks-CznICCPa63Q.mkv_4.jpg 61.0 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/E-Type Software Evolution--dCJi82Euco.mkv_4.jpg 60.7 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scrum Development Model-Txz-Tnm_aSM.mkv_4.jpg 60.5 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Issues in Image Classification-QYwESy6isuc.mkv_4.jpg 60.4 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2-KlffppN47lc.mkv_4.jpg 60.1 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Machines-daDbY2iDmU0.mkv_4.jpg 59.8 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Reinforcement Learning-s5qqjyGiBdc.mkv_4.jpg 59.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Scheduling-2h3eWaPx8SA.mkv_4.jpg 59.5 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/System Programs-UWDzhz8MVqc.mkv_4.jpg 59.5 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cyclomatic Complexity Measures-ihkUVzUzztY.mkv_4.jpg 59.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Computer System Architecture-So9SR3qpWsM.mkv_4.jpg 59.2 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation-IdBSLvoP6uY.mkv_4.jpg 59.1 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Introduction to Deep Learning-JN6H4rQvwgY.mkv_4.jpg 59.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Synchronization _ Chapter-6 _ Operating System-EOGyyyzmEGw.mkv_4.jpg 58.9 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Introduction to Deep Learning-5v1JnYv_yWs.mkv_4.jpg 58.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cohesion and Coupling-bKYlMcyuvcM.mkv_4.jpg 58.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Requirements-8uk-2-mX53U.mkv_4.jpg 58.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Faster ML Development with TensorFlow-FkHWKq86tSw.mkv_4.jpg 58.5 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Generative Modeling-JVb54xhEw6Y.mkv_4.jpg 58.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Overview of Software Engineering-ITlyBV4ttts.mkv_4.jpg 58.1 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain)-ulLx2iPTIcs.mkv_4.jpg 57.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.1 Inverse Trigonometric Functions-uLP9F1-05Kw.mkv_4.jpg 57.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions-g2jx2vAAie0.mkv_4.jpg 57.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multithreading Models & Hyperthreading-HW2Wcx-ktsc.mkv_4.jpg 57.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Resource Management-u3Y71H98AZU.mkv_4.jpg 57.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Life Cycle-sARoc6GyCq8.mkv_4.jpg 57.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley)-3Hsp5vtQeP0.mkv_4.jpg 57.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.1 Integrate Inverse Trigonometric Functions-ofTzdKxMcOg.mkv_4.jpg 57.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.2 Integrate Using the Completing the Square Technique-YItr1wnGcAg.mkv_4.jpg 57.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4-lqhMTkouBx0.mkv_4.jpg 57.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Engineering-pi2nP3rXZ3k.mkv_4.jpg 57.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/15. Gene Regulatory Networks-So6MK_FcP4E.mkv_4.jpg 57.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Risk Management-SA5F_GIXbok.mkv_4.jpg 57.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers-INja7C5_vqk.mkv_4.jpg 57.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Welcome to Data Structures-zgCnMvvw6Oo.info.json 57.3 kB
Year 2/Semester 3/1. Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy-AOsWph2FNLw.mkv_4.jpg 57.3 kB
Year 3/Semester 6/4. Mobile applications - IOS development/Swift Programming Tutorial for Beginners (Full Tutorial)-Ulp1Kimblg0.mkv_4.jpg 57.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Image Domain Transfer (NVIDIA)-_MzaThb_jno.mkv_4.jpg 57.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Services-TQWERtMoKbI.mkv_4.jpg 57.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.2 Finding the Area Between Two Curves-xOvE4dzfcdU.mkv_4.jpg 56.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley)-5D6-Br8PgMQ.mkv_4.jpg 56.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Object Oriented Design-JK6LYUSGnWo.mkv_4.jpg 56.8 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.1 Direct Proof-01b3KjgPhfI.mkv_4.jpg 56.8 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tXIO8JNwCi0.mkv_4.jpg 56.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Engineering Basics-4b1D1QFEel0.info.json 56.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Entity Relationship Model-p7GsjrXoW28.mkv_4.jpg 56.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley)-r_SpMPgK2X0.mkv_4.jpg 56.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Sockets in Operating System-uagKTbohimU.mkv_4.jpg 56.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Types of System Calls-EavqupVh8ls.mkv_4.jpg 56.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Management Tools-e1NYaiwIla0.mkv_4.jpg 56.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Interprocess Communication-dJuYKfR8vec.mkv_4.jpg 56.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Programming Style-9T7p-Sx7G-Y.mkv_4.jpg 56.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Feedback-Queue Scheduling Algorithm-1KLuC0knvs8.mkv_4.jpg 56.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/19. Architectures - GPS, SOAR, Subsumption, Society of Mind-PimSbFGrwXM.mkv_4.jpg 55.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Black Box Testing-5KQQtXGBBiA.mkv_4.jpg 55.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Modularization-dah74-XZVXc.mkv_4.jpg 55.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Queue Scheduling Algorithm-fvkSXMZaBNY.mkv_4.jpg 55.5 kB
Year 2/Semester 3/1. Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy-mkyZ45KQYi4.mkv_4.jpg 55.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement.-h1aP9HCFu6Y.mkv_4.jpg 55.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation.-7k9nCLrHipQ.mkv_4.jpg 55.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage.-J72gVimVadQ.mkv_4.jpg 55.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database.-mJDe5QG2L9k.mkv_4.jpg 55.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class.-7HdmQ4AYjZw.mkv_4.jpg 55.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Project Management-FCn0xVZQx3w.mkv_4.jpg 55.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Structures of Operating System-XXPBl20J22w.mkv_4.jpg 55.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Scheduling-SkQzQCAWf8M.mkv_4.jpg 55.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/4. Risk Stratification, Part 1-_shuV1tJbTU.mkv_4.jpg 55.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Context Switch-vTgccrbYHYs.mkv_4.jpg 54.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/V Model-5jJ_PBX3XsE.mkv_4.jpg 54.6 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu-Z1jsJKAlWjw.mkv_4.jpg 54.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Engineering Basics-4b1D1QFEel0.mkv_4.jpg 54.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Big Bang Model-uij0JPt4YzI.mkv_4.jpg 54.4 kB
Year 4/Semester 7/4. Computer Vision/MIT 6.S094 - Computer Vision-CLOAswsxudo.mkv_4.jpg 54.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-JfjT1a0vi4E.mkv_4.jpg 54.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.3 Introduction to Logic Circuits-iyHXkQIbOUI.mkv_4.jpg 54.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 8 - Zookeeper-pbmyrNjzdDk.mkv_4.jpg 54.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 5 - Go, Threads, and Raft-UzzcUS2OHqo.mkv_4.jpg 54.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Configuration Management-nDp6uBFHfQU.mkv_4.jpg 54.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 9 height-FOTgPZYYDyQ.info.json 54.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Levels-K7npUb4czqg.mkv_4.jpg 53.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Documentation-LO9Hs09BbZQ.mkv_4.jpg 53.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1-gT4F3HGYXf4.mkv_4.jpg 53.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.2 Center of Mass of a Planar Lamina-xq8z6SqVXTM.mkv_4.jpg 53.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Introduction - 3D Convolutional Neural Network w_ Kaggle Lung Cancer Detection Competiton p.1-ulq9DjCJPDU.mkv_4.jpg 53.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Re engineering-UXERB3xFgc4.mkv_4.jpg 53.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Reinforcement Learning-i6Mi2_QM3rA.mkv_4.jpg 53.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Pseudo Code-Q6uewwnqRBk.mkv_4.jpg 53.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 10 - Decision Trees and Ensemble Methods _ Stanford CS229 - Machine Learning (Autumn 2018)-wr9gUr-eWdA.mkv_4.jpg 53.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.1 Revisiting Recursive Definitions-j-7BQ6V5ZPo.mkv_4.jpg 53.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Programming-qpUQpxpeixA.mkv_4.jpg 52.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4-27FPv1VHSsQ.mkv_4.jpg 52.7 kB
Year 2/Semester 3/1. Probability/Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy-uzkc-qNVoOk.info.json 52.6 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for Android (Coding TensorFlow)-JnhW5tQ_7Vo.mkv_4.jpg 52.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.1 Determine Finite Limits at Infinity-hJ1rhSj6-0I.mkv_4.jpg 52.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.2 Determine Horizontal Asymptotes of a Function-SkiSWGU7Guk.mkv_4.jpg 52.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.3 Horizontal Asymptotes - Tricky Examples-qLUxbW1CbLg.mkv_4.jpg 52.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.4 Determine Infinite Limits at Infinity-kMo0hLq__Zw.mkv_4.jpg 52.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.7.1 Fluid Pressure and Fluid Force-G62RLNbZhmw.mkv_4.jpg 52.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 12 Sort Summary-tgVitpkdkUo.mkv_4.jpg 52.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/CASE Tools-_74Nra8h5Go.mkv_4.jpg 52.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Characteristics of Good Software-ehuYDUUuRio.mkv_4.jpg 51.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Creation-pSW9d3Oaie8.mkv_4.jpg 51.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Component Reusability-dapI52aXDLo.mkv_4.jpg 51.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.1 A Summary of Curve Sketching-qE5wCY-Kxnk.mkv_4.jpg 51.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.2 Curve Sketching - Full Practice-hahDwDNirpc.mkv_4.jpg 51.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Levels-dBnbaB80aZo.mkv_4.jpg 51.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 10 - Cloud Replicated DB, Aurora-jJSh54J1s5o.mkv_4.jpg 51.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.1 Optimization Problems-LnXewON-ifk.mkv_4.jpg 51.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.2 Optimization Practice-Q5CrW8yQo-0.mkv_4.jpg 51.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.1 Finding The Area Under a Curve-g-l13hjukiI.mkv_4.jpg 51.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 2 - C++ Calculator-txGRU7OrTZo.mkv_4.jpg 51.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley)-FXFmy6JWj1E.mkv_4.jpg 51.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/k-mer algorithms - Compare and Swap-8XJ8r_n7POY.mkv_4.jpg 51.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/14. Causal Inference, Part 1-gRkUhg9Wb-I.mkv_4.jpg 51.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts--s7e_Fy6NRU.mkv_4.jpg 51.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/System Calls-lhToWeuWWfw.mkv_4.jpg 51.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Design-nzLvmyBgOfk.mkv_4.jpg 51.0 kB
Year 2/Semester 3/4. Intro to Client-side development/Learn JavaScript - Full Course for Beginners-PkZNo7MFNFg.info.json 50.9 kB
Year 1/Semester 1/4. Introduction to Computer Science and Programming/Introduction to Programming and Computer Science - Full Course-zOjov-2OZ0E.mp4_4.webp 50.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.4 Optimization Algorithms-MWaJuoFwyv8.mkv_4.jpg 50.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Counting DNA Nucleotides-bqclD2nLmQ8.mkv_4.jpg 50.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations.-3eBIHdyGJLQ.mkv_4.jpg 50.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.1 Increasing and Decreasing Intervals-oMWaVs5yxdo.mkv_4.jpg 50.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.2 The First Derivative Test-UFPZWLNIulo.mkv_4.jpg 50.6 kB
Year 4/Semester 8/4. Self-Driving Cars/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars-HKBhP9JISF0.mkv_4.jpg 50.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server-Sa_kQheCnds.mkv_4.jpg 50.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.1 Rolle’s Theorem-m-XwUqPoCpA.mkv_4.jpg 50.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.2 The Mean Value Theorem-VYvS5kWS2tg.mkv_4.jpg 50.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/3. Deep Dive Into Clinical Data-0UFwGJe6ubg.mkv_4.jpg 50.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Manager-kXuzVl1Eo-E.mkv_4.jpg 50.2 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset--tyBEsHSv7w.mkv_4.jpg 50.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Approaches-Urphtihj-Bg.mkv_4.jpg 50.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Convolutional Neural Networks-H-HVZJ7kGI0.mkv_4.jpg 50.0 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial - C++ Notepad App-I96uPDifZ1w.mkv_4.jpg 50.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Spiral Model-z8CqlcPjmGE.mkv_4.jpg 49.9 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture-FdVuKt_iuSI.mkv_4.jpg 49.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process State-jZ_6PXoaoxo.mkv_4.jpg 49.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals-rAxXcX_w5fE.mkv_4.jpg 49.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management Activities-eOTcPOvT-H4.mkv_4.jpg 49.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile-CQ90L5jfldw.mkv_4.jpg 49.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley)-KRenWKpfGo4.mkv_4.jpg 49.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Generative Modeling-yFBFl1cLYx8.mkv_4.jpg 49.7 kB
Year 3/Semester 6/4. Mobile applications - IOS development/iOS Tutorial (2020) - How To Make Your First App-09TeUXjzpKs.mkv_4.jpg 49.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.1 Extrema of a Function on an Interval-toNQxJhXbmY.mkv_4.jpg 49.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.2 Relative Extrema of a Function on an Open Interval-a3uHiD94dkE.mkv_4.jpg 49.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.3 Find Extrema on a Closed Interval-yhEZ5qxBrLY.mkv_4.jpg 49.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 11 - Introduction to Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-MfIjxPh6Pys.mkv_4.jpg 49.3 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.info.json 49.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.1 Intervals of Concavity-c7_MkBWojC4.mkv_4.jpg 49.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.2 Points of Inflection-QrxGozcFxXg.mkv_4.jpg 49.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.3 The Second Derivative Test-xIkm1CXpmL4.mkv_4.jpg 49.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.4 Putting It All Together-j-HND1gJCg4.mkv_4.jpg 49.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.4.1 Trigonometric Substitution-wQgEjJ0PBH8.mkv_4.jpg 49.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/White Box Testing-qOKPHpXuEvY.mkv_4.jpg 48.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-RBgeCCW5Hjs.mkv_4.jpg 48.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions-yFPwq0jlGt4.mkv_4.jpg 48.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt-NhidVhNHfeU.mkv_4.jpg 48.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka-JMUxmLyrhSk.mkv_4.jpg 48.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads-kt3ZtW9MXhw.mkv_4.jpg 48.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System-3aVqWaLjqS4.mkv_4.jpg 48.5 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19)-s65BigoMV_I.mkv_4.jpg 48.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to Use a Custom Domain Name for Our Application-D2lwk1Ukgz0.mkv_4.jpg 48.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/13. Learning - Genetic Algorithms-kHyNqSnzP8Y.mkv_4.jpg 48.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley)-UzmUAA8qFaM.mkv_4.jpg 48.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes-a48xeeo5Vnk.mkv_4.jpg 48.3 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for iOS (Coding TensorFlow)-0SBtAjUauOc.mkv_4.jpg 48.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Rapid Application Development (RAD)-yngKRepAgSg.mkv_4.jpg 48.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-CkOPbj5KhP8.mkv_4.jpg 48.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations-kjC_kVBxQA0.mkv_4.jpg 48.1 kB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.mp4_4.webp 48.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191-4PuuziOgSU4.mkv_4.jpg 47.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.1 Find the Slope of a Tangent Line-zCxbsCbgAKo.mkv_4.jpg 47.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.2 Derivatives Using the Limit Definition--Agj1BVzQ8U.mkv_4.jpg 47.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.3 Differentiability and Continuity-V2VsldkLE90.mkv_4.jpg 47.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 5 - Finish Paint App-F-ha0F2yLqA.mkv_4.jpg 47.6 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/HTML Crash Course For Absolute Beginners-UB1O30fR-EE.mkv_4.jpg 47.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-dKXbONPqBNY.mkv_4.jpg 47.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.1 The Chain Rule-oCu6t8XGuQo.mkv_4.jpg 47.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.2 The General Power Rule-aXx8VaG3zFo.mkv_4.jpg 47.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.3 Simplifying Derivatives-ulDOTjVG4V8.mkv_4.jpg 47.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.4 Trigonometric Functions and the Chain Rule-h5NLTIA76nU.mkv_4.jpg 47.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Memory _ Chapter-9 _ Operating System-rZIVS3eUDrw.mkv_4.jpg 47.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku-6DI_7Zja8Zc.mkv_4.jpg 47.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 3 - GFS-EpIgvowZr00.mkv_4.jpg 47.0 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Windows-kI5x9TEz3qk.mkv_4.jpg 47.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Incremental Model-0r2yu-8RdEA.mkv_4.jpg 47.0 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II-jJ7JbQBTChM.mkv_4.jpg 46.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Waterfall Model-fN6JgY6BEFs.mkv_4.jpg 46.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Brings Simply Easy Learning-lezQQ0d1pxc.mkv_4.jpg 46.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses-kEMJRjEdNzM.mkv_4.jpg 46.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Main Memory _ Chapter-8 _ Operating System-m7iXeDyFe4I.mkv_4.jpg 46.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley)-3hfL3ckFAfo.mkv_4.jpg 45.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae-ZJeBDVMbhJE.mkv_4.jpg 45.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal-tvsArHvVRPw.mkv_4.jpg 45.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration-q4jPR-M0TAQ.mkv_4.jpg 45.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.2 Derivatives of Trigonometric Functions-ic3SMMxLoW8.mkv_4.jpg 45.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.3 Higher Order Derivatives-uEX4Ufm7AlY.mkv_4.jpg 45.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/1. Introduction to Computational and Systems Biology-lJzybEXmIj0.mkv_4.jpg 45.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT Introduction to Deep Learning _ 6.S191-njKP3FqW3Sk.info.json 45.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal-UJrrXUkQyCc.mkv_4.jpg 45.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 4 - C++ Paint App-uzgU2XzhnHY.mkv_4.jpg 45.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate-cgaFm9TJ_zg.mkv_4.jpg 45.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.2 Rates of Change-xpSqZGYB5P0.mkv_4.jpg 45.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.1 Implicit and Explicit Functions-I0JjW7JkiGk.mkv_4.jpg 45.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.2 Implicit Differentiation-e1wr8svxdeA.mkv_4.jpg 45.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions-A3Ffwsnad0k.mkv_4.jpg 44.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu-2Sa55D_Ve4U.mkv_4.jpg 44.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley)-COwyx_APxRE.mkv_4.jpg 44.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started-UmljXZIypDc.mkv_4.jpg 44.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley)-hry_qqXLej8.mkv_4.jpg 44.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 3 TrickleUp-6i15PI_VP-E.mkv_4.jpg 44.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections-zEKfcK6A_Rg.mkv_4.jpg 44.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.1 General and Particular Solutions to Differential Equations-564pn3CaoyQ.mkv_4.jpg 44.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started-UmljXZIypDc.info.json 44.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations-aHC3uTkT9r8.info.json 44.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration-q4jPR-M0TAQ.info.json 44.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.2 The Root Test-z85YBJUiu9s.mkv_4.jpg 44.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence-ToEWg269oV0.mkv_4.jpg 44.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 3 - Templates-qDwdMDQ8oX4.info.json 44.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes-a48xeeo5Vnk.info.json 44.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts--s7e_Fy6NRU.info.json 44.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses-kEMJRjEdNzM.info.json 44.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Barack Obama - Intro to Deep Learning _ MIT 6.S191-l82PxsKHxYc.info.json 44.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Recurrent Neural Networks _ MIT 6.S191-SEnXr6v2ifU.info.json 44.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-ibPL7T9iEwY.mkv_4.jpg 44.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/21. Automating Clinical Work Flows-Td01vFP3uJo.mkv_4.jpg 44.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 6 recursive add-eg7wGS9ySYs.mkv_4.jpg 44.0 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation-dRIhrn8cc9w.mkv_4.jpg 44.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 4 - Perceptron & Generalized Linear Model _ Stanford CS229 - Machine Learning (Autumn 2018)-iZTeva0WSTQ.info.json 43.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors-8rXD5-xhemo.info.json 43.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 3 - Locally Weighted & Logistic Regression _ Stanford CS229 - Machine Learning (Autumn 2018)-het9HFqo1TQ.info.json 43.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate-F1sIkFyteqE.mkv_4.jpg 43.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018)-jGwO_UgTS7I.info.json 43.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 6 - Support Vector Machines _ Stanford CS229 - Machine Learning (Autumn 2018)-lDwow4aOrtg.info.json 43.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 5 - GDA & Naive Bayes _ Stanford CS229 - Machine Learning (Autumn 2018)-nt63k3bfXS0.info.json 43.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Deadlocks _ Chapter-7 _ Operating System-KrbjE6IRrM4.mkv_4.jpg 43.7 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/HTML Crash Course For Absolute Beginners-UB1O30fR-EE.info.json 43.6 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/CSS Crash Course For Absolute Beginners-yfoY53QXEnI.info.json 43.5 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/CSS Crash Course For Absolute Beginners-yfoY53QXEnI.mkv_4.jpg 43.4 kB
Year 2/Semester 3/1. Probability/Finding probability example 2 _ Probability and Statistics _ Khan Academy-mLE-SlOZToc.info.json 43.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Assumptions - Practical Machine Learning Tutorial with Python p.12-Kpxwl2u-Wgk.info.json 43.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration--mjWOV6Ye84.mkv_4.jpg 43.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 7 removeLast()-VGlcF3VQ-Pg.mkv_4.jpg 43.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 6 - Support Vector Machines _ Stanford CS229 - Machine Learning (Autumn 2018)-lDwow4aOrtg.mkv_4.jpg 43.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws-aXobNQArW64.mkv_4.jpg 43.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 3 - Locally Weighted & Logistic Regression _ Stanford CS229 - Machine Learning (Autumn 2018)-het9HFqo1TQ.mkv_4.jpg 43.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination-acOktTcTVEQ.mkv_4.jpg 43.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 4 - Primary-Backup Replication-M_teob23ZzY.mkv_4.jpg 43.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.3 Applications Involving the Area Between Two Curves-NksmQNMEZ3A.mkv_4.jpg 43.0 kB
Year 3/Semester 6/1. Non-relational Databases/An Introduction To NoSQL Databases-uD3p_rZPBUQ.mkv_4.jpg 43.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-gQvaT_AU0Gg.mkv_4.jpg 42.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.2 Rules of Inference for Quantified Statements-zMtToQelLN8.mkv_4.jpg 42.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples-zEdovJYAGwU.mkv_4.jpg 42.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-qJmTZwzf1L4.mkv_4.jpg 42.7 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors-8rXD5-xhemo.mkv_4.jpg 42.7 kB
Year 4/Semester 8/4. Self-Driving Cars/Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars-LDprUza7yT4.mkv_4.jpg 42.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations-aHC3uTkT9r8.mkv_4.jpg 42.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/18. Disease Progression Modeling and Subtyping, Part 1-yYWyLZrdRRI.mkv_4.jpg 42.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Charts-vdUO-sGA1DA.mkv_4.jpg 42.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-P-mXr9adbCc.mkv_4.jpg 42.4 kB
Year 2/Semester 3/1. Probability/Addition rule for probability _ Probability and Statistics _ Khan Academy-QE2uR6Z-NcU.info.json 42.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.1 Represent Functions with the Geometric Power Series-JxZV7XLLFRg.mkv_4.jpg 42.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.2.1 Integration by Parts-Ex8u3OhqllY.mkv_4.jpg 42.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 2 - RPC and Threads-gA4YXUJX7t8.mkv_4.jpg 42.3 kB
Year 2/Semester 3/1. Probability/Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy-obZzOq_wSCg.info.json 42.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions-hWEZsyF3ZZc.mkv_4.jpg 42.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/17. Reinforcement Learning, Part 2-zdotUAxiPGM.mkv_4.jpg 42.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tpQPN01i3GA.mkv_4.jpg 42.2 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs-iWea12EAu6U.mkv_4.jpg 42.2 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page-1PkNiYlkkjo.mkv_4.jpg 42.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.1 Basic Differentiation Rules-hbiX_8jPtB0.mkv_4.jpg 42.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley)-uvE_HeNHTzI.mkv_4.jpg 42.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 3 - Qt Charts-MHn3ZTWcyXk.mkv_4.jpg 42.0 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control-j080VBVGkfQ.mkv_4.jpg 42.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities-IXvUn9iR2wA.mkv_4.jpg 42.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility-OP3l8VUEE-8.mkv_4.jpg 41.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities-OFU64V8rEDM.mkv_4.jpg 41.9 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-6-4pJt1M18s.mkv_4.jpg 41.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 2 Nodes and Size-Dfu7PeZ3v2Q.mkv_4.jpg 41.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 4 - Perceptron & Generalized Linear Model _ Stanford CS229 - Machine Learning (Autumn 2018)-iZTeva0WSTQ.mkv_4.jpg 41.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-WQL2yMciD2M.mkv_4.jpg 41.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.1 A Preview of Calculus-8NIsIW5nf4Y.mkv_4.jpg 41.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka-JMUxmLyrhSk.info.json 41.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Practical Machine Learning Tutorial with Python Intro p.1-OGxgnH8y2NM.info.json 41.5 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial for Beginners-KJgsSFOSQv0.info.json 41.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent-H6gIC1FF1b4.mkv_4.jpg 41.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 3 - Templates-qDwdMDQ8oX4.mkv_4.jpg 41.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 17 – Multitask Learning-M8dsZsEtEsg.mkv_4.jpg 41.3 kB
Year 2/Semester 3/1. Probability/Free throwing probability _ Probability and Statistics _ Khan Academy-iMqCSgqzmiQ.info.json 41.3 kB
Year 2/Semester 3/1. Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy-mkyZ45KQYi4.info.json 41.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Mac-SKV0npCFxFs.mkv_4.jpg 41.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.2 Proof by Contraposition-vMwejR0bqwo.mkv_4.jpg 41.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.2 Change of Variables for Indefinite Integrals-UBh35F_4tnU.mkv_4.jpg 41.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/20. Precision Medicine-kZrb6ZIwJqg.mkv_4.jpg 41.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Drago Anguelov (Waymo) - MIT Self-Driving Cars-Q0nGo2-y0xY.info.json 41.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 8 remove and find-xo9_PkC5Ml0.mkv_4.jpg 41.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 6 - Fault Tolerance - Raft (1)-64Zp3tzNbpE.mkv_4.jpg 41.0 kB
Year 2/Semester 3/1. Probability/Frequency stability property short film _ Computer Science _ Khan Academy-vVXbgbMp0oY.info.json 41.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations-OyRzpScJuvE.mkv_4.jpg 41.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-jDHx2K9HxlM.mkv_4.jpg 41.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.3 Inverse Functions and Composition of Functions-aQefXelCN5Y.mkv_4.jpg 41.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 15 – Natural Language Generation-4uG1NMKNWCU.mkv_4.jpg 40.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse-bZ275aLiypo.mkv_4.jpg 40.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.1 Rules of Inference for Propositional Logic-oasIqX74Mhc.mkv_4.jpg 40.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction-ljeQ1yNexIU.mkv_4.jpg 40.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion-0TyAhELFA90.mkv_4.jpg 40.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-zLP_X4wyHbY.mkv_4.jpg 40.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley)-eG_d-rGt-Z8.mkv_4.jpg 40.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.1 Evaluating Limits Using Properties of Limits-2hwdlWPoaUE.mkv_4.jpg 40.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing-44-RJEdGjC4.mkv_4.jpg 40.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem-5MaW99om2v4.mkv_4.jpg 40.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.1 The Fundamental Theorem of Calculus-3u-8LNMiHbA.mkv_4.jpg 40.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.2 The Mean Value Theorem for Integrals-NXXVUeW31Qg.mkv_4.jpg 40.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.3 The Average Value of a Function-PjSGp4XsY0E.mkv_4.jpg 40.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.4 The Second Fundamental Theorem of Calculus-HwBskK0WbJs.mkv_4.jpg 40.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 13 Circular Linked Lists-7ELt4-z4YeI.mkv_4.jpg 40.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine-3ibCta5SH7Q.mkv_4.jpg 40.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-QKdiZSfwg-g.mkv_4.jpg 40.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.1 The Product and Quotient Rules-KPXIuZwQxts.mkv_4.jpg 40.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 15 - EM Algorithm & Factor Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-tw6cmL5STuY.mkv_4.jpg 40.4 kB
Year 2/Semester 3/1. Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy-xSc4oLA9e8o.info.json 40.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-isBEVkIjgGA.mkv_4.jpg 40.3 kB
Year 3/Semester 5/4. Client-side development with React/Learn React JS - Full Course for Beginners - Tutorial 2019-DLX62G4lc44.info.json 40.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.2 Continuity on Closed Intervals-BDMzVx2LV-0.mkv_4.jpg 40.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.3 Properties of Continuity-niSjuhVjb6k.mkv_4.jpg 40.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.4 The Intermediate Value Theorem-Dyvle5Cgw3g.mkv_4.jpg 40.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.2 Determine Vertical Asymptotes-OtBj-vTtNME.mkv_4.jpg 40.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.1 Proof by Cases-dheuJkuSNyI.mkv_4.jpg 40.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer-RBSGKlAvoiM.info.json 40.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/12. Machine Learning for Pathology-PKCMH5KOcxQ.mkv_4.jpg 40.1 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code-vPqQSKsxH4k.mkv_4.jpg 40.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention-XXtpJxZBa2c.mkv_4.jpg 40.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations-OUQmx7GQwmY.mkv_4.jpg 40.0 kB
Year 3/Semester 5/1. Databases (SQL)/SQL Tutorial - Full Database Course for Beginners-HXV3zeQKqGY.info.json 40.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.1 Sigma Notation-9a96ChQreSs.mkv_4.jpg 40.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.2 The Concept of Area-AEW-9gw4Ocs.mkv_4.jpg 40.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.3 The Approximate Area of a Plane Region-y0ZmzMQnK6A.mkv_4.jpg 40.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.4 Finding Area By The Limit Definition-yLMDOV9EXWY.mkv_4.jpg 40.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/8. Natural Language Processing (NLP), Part 2-lkO2ocJBsmI.mkv_4.jpg 39.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley)-Vq4kd_jlnGk.mkv_4.jpg 39.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley)-DRGr3tFtHiQ.mkv_4.jpg 39.9 kB
Year 2/Semester 3/1. Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy-gyqodNhM3EU.info.json 39.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.3 Negating and Translating with Quantifiers-8eCZ1suibCw.mkv_4.jpg 39.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 3 Introduction to Generic Programming-_dy9JnEXekU.mkv_4.jpg 39.8 kB
Year 3/Semester 6/4. Mobile applications - IOS development/iOS Tutorial (2020) - How To Make Your First App-09TeUXjzpKs.info.json 39.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning-V7CY68zH6ps.mkv_4.jpg 39.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically-OzL5d2GBUWI.mkv_4.jpg 39.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.2 Find Limits Graphically and Numerically - When Limits Fail to Exist-54q-w2Gpz4o.mkv_4.jpg 39.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.3 Find Limits Graphically and Numerically - The Formal Definition of A Limit-QBxxKXDaRvc.mkv_4.jpg 39.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 16 - Independent Component Analysis & RL _ Stanford CS229 - Machine Learning (Autumn 2018)-YQA9lLdLig8.mkv_4.jpg 39.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley)-h1Ygos9lDfE.mkv_4.jpg 39.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Intro - Practical Machine Learning Tutorial with Python p.2-JcI5Vnw0b2c.info.json 39.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley)-uVKyubtOWr0.mkv_4.jpg 39.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley)-UnDajgiVmic.mkv_4.jpg 39.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 12 – Subword Models-9oTHFx0Gg3Q.mkv_4.jpg 39.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.1 Finding Arc Length-NL7RrQ40y5A.mkv_4.jpg 39.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 13 Constructor for a chained hash.-VtU1EQPIS0w.mkv_4.jpg 39.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-b4Dl85FVSok.mkv_4.jpg 39.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.1 Nested Quantifiers and Negations-Jth7m3j8uGA.mkv_4.jpg 39.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley)-kXmKxtXEXyQ.mkv_4.jpg 39.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/16. Learning - Support Vector Machines-_PwhiWxHK8o.info.json 39.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/19. Disease Progression Modeling and Subtyping, Part 2-aJqgO8e37_g.mkv_4.jpg 39.2 kB
Year 1/Semester 2/4. Computer System Architecture/Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-cIhExOjdFPI.mkv_4.jpg 39.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019-3UGti9Ju5j8.mkv_4.jpg 39.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 2 ComparableGenerics-HtahYOYb7zM.mkv_4.jpg 39.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.1 Riemann Sums-xeyfJ-WktOQ.mkv_4.jpg 39.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.2 Definite Integrals-YFEk1YI3lwk.mkv_4.jpg 39.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.3 Properties of Definite Integrals-ePTEdW4xj5o.mkv_4.jpg 39.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 11 Coding Rotations-Y-nmgO8ALjM.mkv_4.jpg 39.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/25. Interpretability-wDLzLN1tArA.mkv_4.jpg 39.0 kB
Year 2/Semester 3/1. Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy-NSSoMafbBqQ.info.json 39.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Simply Easy Learning Steps-1iJn6quPp50.mkv_4.jpg 39.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 17 resize-AA0KuKV3ARU.mkv_4.jpg 39.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 8 - Data Splits, Models & Cross-Validation _ Stanford CS229 - Machine Learning (Autumn 2018)-rjbkWSTjHzM.mkv_4.jpg 38.9 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pip8h9vjTHY.mkv_4.jpg 38.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 4 Hash Functions for Strings-jtMwp0FqEcg.mkv_4.jpg 38.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Execution and Monitoring-dXYMZDaPkUE.mkv_4.jpg 38.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP-EAJoRA0KX7I.mkv_4.jpg 38.8 kB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.info.json 38.8 kB
Year 2/Semester 3/1. Probability/Probability without equally likely events _ Probability and Statistics _ Khan Academy-RI874OSJp1U.info.json 38.8 kB
Year 1/Semester 2/4. Computer System Architecture/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-5Oi7tvYE7fI.mkv_4.jpg 38.8 kB
Year 2/Semester 3/1. Probability/Dependent probability example 2 _ Probability and Statistics _ Khan Academy-7BkcNLOf56w.info.json 38.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 13 - Debugging ML Models and Error Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-ORrStCArmP4.mkv_4.jpg 38.7 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-IYMYI9AJpQs.mkv_4.jpg 38.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.3 Proof by Contradiction-b-kFWP9a2tw.mkv_4.jpg 38.6 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 2 - Linear Regression and Gradient Descent _ Stanford CS229 - Machine Learning (Autumn 2018)-4b4MUYve_U8.info.json 38.6 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 7 - Kernels _ Stanford CS229 - Machine Learning (Autumn 2018)-8NYoQiRANpg.mkv_4.jpg 38.6 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-B2PPyATuSvs.mkv_4.jpg 38.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.2 Translating with Nested Quantifiers-8ws-MMeDOSE.mkv_4.jpg 38.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/10. Application of Machine Learning to Cardiac Imaging-MoEaRpLNo9A.mkv_4.jpg 38.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 19 - Reward Model & Linear Dynamical System _ Stanford CS229 - Machine Learning (Autumn 2018)-0rt2CsEQv6U.mkv_4.jpg 38.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 18 - Continous State MDP & Model Simulation _ Stanford CS229 - Machine Learning (Autumn 2018)-QFu5nuc-S0s.mkv_4.jpg 38.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 4 TrickleDown-jHZu1GV27tI.mkv_4.jpg 38.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 9 - Approx_Estimation Error & ERM _ Stanford CS229 - Machine Learning (Autumn 2018)-iVOxMcumR4A.mkv_4.jpg 38.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering-yIdF-17HwSk.mkv_4.jpg 38.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley)-MMB2wVyI_LI.mkv_4.jpg 38.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.2 Finding Volume Using the Washer Method-gg3A4oJILLA.mkv_4.jpg 38.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 5 - GDA & Naive Bayes _ Stanford CS229 - Machine Learning (Autumn 2018)-nt63k3bfXS0.mkv_4.jpg 37.9 kB
Year 1/Semester 1/4. Introduction to Computer Science and Programming/Introduction to Programming and Computer Science - Full Course-zOjov-2OZ0E.info.json 37.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley)-EtkggozKpGQ.mkv_4.jpg 37.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 6 Merge Sort-qdv3i6X0PiQ.mkv_4.jpg 37.7 kB
Year 2/Semester 3/1. Probability/Exactly three heads in five flips _ Probability and Statistics _ Khan Academy-udG9KhNMKJw.info.json 37.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning-RN8qpSs8ozY.mkv_4.jpg 37.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.3 Summations and Sigma Notation-w9zIex42wnY.mkv_4.jpg 37.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 12 - Distributed Transactions-aDp99WDIM_4.mkv_4.jpg 37.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.2 Proofs of Existence And Uniqueness-uNbt-ABKpj4.mkv_4.jpg 37.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley)-LsRXYEc-yDM.mkv_4.jpg 37.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects-fyqm8fRDgl0.mkv_4.jpg 37.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley)-DaOLlnOV0s0.mkv_4.jpg 37.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.1 Continuity on Open Intervals-Niw3wBg6RPE.mkv_4.jpg 37.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.2 Operations with The Geometric Power Series-dok7tLtNFn8.mkv_4.jpg 37.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.1 Determine Infinite Limits-w8QAIecvMnU.mkv_4.jpg 37.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.1 Finding Volume Using the Disk Method-mKcQS5zoqDc.mkv_4.jpg 37.1 kB
Year 2/Semester 3/1. Probability/Dependent probability example _ Probability and Statistics _ Khan Academy-xPUm5SUVzTE.info.json 37.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class.-7HdmQ4AYjZw.info.json 37.0 kB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.info.json 36.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.3 Use The Power Series for Elementary Functions-IuHV7eAPdUg.mkv_4.jpg 36.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.1 Antiderivatives-HU5gEKXXeiU.mkv_4.jpg 36.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.2 Basic Integration Rules-8TcwW0mhdAY.mkv_4.jpg 36.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.3 Find Particular Solutions to Differential Equations-HSJqLLMLlyA.mkv_4.jpg 36.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 3 Some examples of big-Oh notation-66ovUEE0bQI.mkv_4.jpg 36.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 10 Testing the list-XUiRmbBn71w.mkv_4.jpg 36.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class.-pU9gd1TGUmQ.info.json 36.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-nH4rn3X8i0c.mkv_4.jpg 36.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019-YygGzfkhtJc.mkv_4.jpg 36.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs-QEw0qEa0E50.mkv_4.jpg 36.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 7 - Fault Tolerance - Raft (2)-4r8Mz3MMivY.mkv_4.jpg 36.7 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19)-s65BigoMV_I.info.json 36.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals-ZWYnYH-NnzY.mkv_4.jpg 36.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere)-uxieCe3otPM.mkv_4.jpg 36.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley)-XMcNhZZwlL4.mkv_4.jpg 36.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-JXtH_ABQFX0.mkv_4.jpg 36.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019-7b2_3dDTKMc.mkv_4.jpg 36.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 18 KeyIterator-2LuVyqAC0ZA.mkv_4.jpg 36.6 kB
Year 2/Semester 3/1. Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy-AOsWph2FNLw.info.json 36.5 kB
Year 3/Semester 6/3. Practical Implementation of Neural Networks/TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial-tPYj3fFJGjk.info.json 36.5 kB
Year 3/Semester 5/1. Databases (SQL)/Database Design Course - Learn how to design and plan a database for beginners-ztHopE5Wnpc.info.json 36.5 kB
Year 2/Semester 3/1. Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy-8TIben0bJpU.info.json 36.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 1 Introduction to sorts-H3FCoYQMKvI.mkv_4.jpg 36.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.3 Absolute and Conditional Convergence-rxA0wACkVao.mkv_4.jpg 36.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 7 complete example of adding data to an AVL tree.-7m94k2Qhg68.mkv_4.jpg 36.3 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6-qfovbG84EBg.info.json 36.3 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Deep Q Learning w_ DQN - Reinforcement Learning p.5-t3fbETsIBCY.info.json 36.3 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Algorithm and Agent - Reinforcement Learning p.2-Gq1Azv_B4-4.info.json 36.2 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Python Village-XEO9FzOPiOQ.info.json 36.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 15 - Big Data - Spark-mzIoSW-cInA.mkv_4.jpg 36.2 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 18 – Constituency Parsing, TreeRNNs-6Z4A3RSf-HY.mkv_4.jpg 36.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.2 Finding Parametric Equations-SVRAgdtNTvQ.mkv_4.jpg 36.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 4 Parameterized Types-DjJRWroA168.mkv_4.jpg 36.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 6 removeFirst()-BlUFXfGzm0Y.mkv_4.jpg 36.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 17 - MDPs & Value_Policy Iteration _ Stanford CS229 - Machine Learning (Autumn 2018)-d5gaWTo6kDM.mkv_4.jpg 36.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.1 Prime Numbers and Their Properties-uuoxgAAikH4.mkv_4.jpg 36.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle)-Oa2E7MbUThE.mkv_4.jpg 36.0 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu-y94DjKHPYVk.mkv_4.jpg 35.9 kB
Year 4/Semester 8/4. Self-Driving Cars/Self-Driving Cars - State of the Art (2019)-sRxaMDDMWQQ.info.json 35.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search-vDF1BYWhqL8.mkv_4.jpg 35.9 kB
Year 3/Semester 5/2. Web Application Development/Python Django Web Framework - Full Course for Beginners-F5mRW0jo-U4.info.json 35.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 1 ObjectOrientedProgramming-Bc3UUHocxt0.mkv_4.jpg 35.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.4 Algorithms for Integer Operations-u1lbOzWb6X4.mkv_4.jpg 35.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 20 – Future of NLP + Deep Learning-3wWZBGN-iX8.mkv_4.jpg 35.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 3 Collisions-YIoZQwWJIDA.mkv_4.jpg 35.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-X6DZchnMYcw.mkv_4.jpg 35.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3-lN5jesocJjk.info.json 35.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 5 HeapSort-LbB357_RwlY.mkv_4.jpg 35.6 kB
Year 2/Semester 3/1. Probability/Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy-PddbEVNMgTY.info.json 35.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 10 Rehashing-7PuZOsxe-mo.mkv_4.jpg 35.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 3 Insertion Sort-eTvQIbB-AuE.mkv_4.jpg 35.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-2RhGMpY18zw.mkv_4.jpg 35.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning-gOV8-bC1_KU.mkv_4.jpg 35.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/7. Natural Language Processing (NLP), Part 1-IiD3YZkkCmE.mkv_4.jpg 35.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.3 Related Rates - Modeling with Triangles-0Pm0vSLJOq0.mkv_4.jpg 35.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/22. Regulation of Machine Learning _ Artificial Intelligence in the US-k95abdkdCPk.mkv_4.jpg 35.3 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019-lzBB7xoZ3Q8.mkv_4.jpg 35.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4-HCBX2cuA5UU.mkv_4.jpg 35.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3-G-KvpNGudLw.mkv_4.jpg 35.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 8 Remove-YeSPhuU-QtE.mkv_4.jpg 35.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 12 Double Linked Lists-v8xyoI11PsU.mkv_4.jpg 35.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-PhUo1IMo6UU.mkv_4.jpg 35.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Brings Simply Easy Learning-lezQQ0d1pxc.info.json 35.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 14 Review of constructors-CQPy29vNa1M.mkv_4.jpg 35.1 kB
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Year 4/Semester 8/4. Self-Driving Cars/Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars-p5AtrKqQ3Fw.info.json 35.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 2 Hash Functions-XYmI-T-JJso.mkv_4.jpg 35.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 1 Introduction-uW8-HkmNq4Q.mkv_4.jpg 35.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 2 Selection Sort-fgYlVyrt1vE.mkv_4.jpg 35.1 kB
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Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 20 - C++ Regex 2-NPccLyAHD6Y.mkv_4.jpg 34.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 13 – Contextual Word Embeddings-S-CspeZ8FHc.mkv_4.jpg 34.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Bloom Filters-heEDL9usFgs.mkv_4.jpg 34.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space-lgKR0iJi7Ww.mkv_4.jpg 34.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 20 - RL Debugging and Diagnostics _ Stanford CS229 - Machine Learning (Autumn 2018)-pLhPQynL0tY.mkv_4.jpg 34.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.1 An Introduction to Conic Sections-2g_1--LXlM4.mkv_4.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Dictionary-zKzcvLtKq0c.mkv_3.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Decision Tables-lOpmv4WpJbM.mkv_3.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Halstead’s Complexity Measures-2bjMmjOwSuE.mkv_3.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Approaches-J5jM4wquM3Q.mkv_3.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Validation and Verification-bGOyenMJUPw.mkv_3.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured English-aLwtxmJ5ZgI.mkv_3.jpg 34.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Install C++ & NetBeans-DamuE8TM3xo.mkv_4.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Components of CASE Tools-L_r106MpBis.mkv_3.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Flow Diagram-Oe2I5OLYF3I.mkv_3.jpg 34.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Point-LgMwjnqkjZg.mkv_3.jpg 34.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 18 - Associative Containers & Container Adapters-IaTzi_bsuJU.mkv_4.jpg 34.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 13 - Advanced Functions-TGOXttOoI0U.mkv_4.jpg 34.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.1 Matrices and Matrix Operations-dLm1pglDFHA.mkv_4.jpg 34.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5-QLVMqwpOLPk.info.json 34.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 19 - C++ Regular Expressions-9K4N6MO_R1Y.mkv_4.jpg 34.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 10 - Object Oriented Programming-ZOKLjJF54Xc.mkv_4.jpg 34.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture-FdVuKt_iuSI.info.json 34.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 16 - C++ Threads-IdwJdJw65tU.mkv_4.jpg 34.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/24. Robustness to Dataset Shift-VpfAWhLBjQY.mkv_4.jpg 34.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks-8CWyBNX6eDo.mkv_4.jpg 34.6 kB
Year 3/Semester 6/4. Mobile applications - IOS development/Swift Programming Tutorial for Beginners (Full Tutorial)-Ulp1Kimblg0.info.json 34.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 12 - Operator Overloading & File I_O-gc7Eqba1c5g.mkv_4.jpg 34.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server-Sa_kQheCnds.info.json 34.5 kB
Year 4/Semester 8/4. Self-Driving Cars/Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars--j0tc0Y1CIE.info.json 34.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 21 - C++ Regex 3-tsR2rNTX3D0.mkv_4.jpg 34.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2-RVt4EN-XdPA.mkv_4.jpg 34.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 15 - Smart Pointers & Polymorphic Templates-q_LUYLV3l44.mkv_4.jpg 34.4 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019-C5bdflsg7rs.mkv_4.jpg 34.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Convolutional Neural Networks _ MIT 6.S191-iaSUYvmCekI.info.json 34.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning - A Personal Perspective-Z7YMDwzUTds.info.json 34.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.2 Pattern Recognition for Sequences-6YFWJBE3o9w.mkv_4.jpg 34.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 7 left rotate-fpESZSHrsp0.mkv_4.jpg 34.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 14 - Templates & Iterators-ywNZAebgEZw.mkv_4.jpg 34.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191-8Kn4Gi8iSYQ.info.json 34.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Deep Learning with Neural Networks and TensorFlow Introduction-oYbVFhK_olY.info.json 34.2 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku-6DI_7Zja8Zc.info.json 34.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Machine Learning for Scent _ MIT 6.S191-Z5Pw5eWItiw.info.json 34.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 6 - Solving Problems-VPT9jXt3GC0.mkv_4.jpg 34.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 17 - Sequence Containers-KJWOm1bXUxM.mkv_4.jpg 34.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 11 Iterators-bx0ebSGUKto.mkv_4.jpg 34.2 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 16 – Coreference Resolution-i19m4GzBhfc.mkv_4.jpg 34.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 9 - Lambda Expressions-482weZjwVHY.mkv_4.jpg 34.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 11 - Polymorphism-k7O7AGfDI2c.mkv_4.jpg 34.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation-lPe-rQA_afU.info.json 34.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions-2mIERXU7wWY.mkv_4.jpg 34.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Reinforcement Learning _ MIT 6.S191-nZfaHIxDD5w.info.json 34.1 kB
Year 4/Semester 7/4. Computer Vision/MIT 6.S094 - Computer Vision-CLOAswsxudo.info.json 34.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads-kt3ZtW9MXhw.info.json 34.0 kB
Year 4/Semester 8/4. Self-Driving Cars/MIT Self-Driving Cars (2018)-_OCjqIgxwHw.info.json 34.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation-yLYHDSv-288.mkv_4.jpg 34.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Generative Modeling _ MIT 6.S191-rZufA635dq4.info.json 34.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4-r4mwkS2T9aI.info.json 33.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Learning New Frontiers _ MIT 6.S191-tfM_DdbGTLs.info.json 33.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191-4PuuziOgSU4.info.json 33.9 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt-NhidVhNHfeU.info.json 33.9 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset--tyBEsHSv7w.info.json 33.9 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops-tT8ICXAO_-4.mkv_4.jpg 33.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 2 - Linear Regression and Gradient Descent _ Stanford CS229 - Machine Learning (Autumn 2018)-4b4MUYve_U8.mkv_4.jpg 33.9 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to Use a Custom Domain Name for Our Application-D2lwk1Ukgz0.info.json 33.9 kB
Year 2/Semester 3/1. Probability/Probability density functions _ Probability and Statistics _ Khan Academy-Fvi9A_tEmXQ.info.json 33.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-oGwvMk5re3Y.mkv_4.jpg 33.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu-TUFins4z6o4.mkv_4.jpg 33.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 3 - Pointers & Functions-7pLldfZunJI.mkv_4.jpg 33.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System-3aVqWaLjqS4.info.json 33.8 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.2 One to One and Onto Functions-plSzGYwo-ew.mkv_4.jpg 33.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 4 - Exception Handling & Looping-HD72quXVuE4.mkv_4.jpg 33.7 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pO3Jsr31s_Q.info.json 33.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/6. Physiological Time-Series-lLhfDSOwWtU.mkv_4.jpg 33.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6-za5s7RB_VLw.info.json 33.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression How it Works - Practical Machine Learning Tutorial with Python p.7-V59bYfIomVk.info.json 33.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page-1PkNiYlkkjo.info.json 33.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 7 - Solving Problems-EKKOi4E7pm0.mkv_4.jpg 33.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination-acOktTcTVEQ.info.json 33.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.2 Matrix Operations on your TI-84-Hfdo5DGS2jk.mkv_4.jpg 33.6 kB
Year 2/Semester 3/1. Probability/Conditional probability and combinations _ Probability and Statistics _ Khan Academy-xw6utjoyMi4.info.json 33.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neural Rendering _ MIT 6.S191-BCZ56MU-KhQ.info.json 33.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile-CQ90L5jfldw.info.json 33.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-M_VPUF9ResU.mkv_4.jpg 33.6 kB
Year 4/Semester 8/4. Self-Driving Cars/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars-HKBhP9JISF0.info.json 33.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.2 The Logistic Differential Equation-Aw5fxCLXNco.mkv_4.jpg 33.5 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019-7b2_3dDTKMc.info.json 33.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley)-Pk1E3Iod7eQ.mkv_4.jpg 33.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 5 - Strings & Math-xxMG5HwCK6w.mkv_4.jpg 33.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39-3ERPpzrDkVg.info.json 33.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention-XXtpJxZBa2c.info.json 33.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP-EAJoRA0KX7I.info.json 33.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 16 – Coreference Resolution-i19m4GzBhfc.info.json 33.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 15 – Natural Language Generation-4uG1NMKNWCU.info.json 33.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Generative Modeling-JVb54xhEw6Y.info.json 33.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs-iWea12EAu6U.info.json 33.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 18 – Constituency Parsing, TreeRNNs-6Z4A3RSf-HY.info.json 33.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-NCUDEgLfC_I.mkv_4.jpg 33.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8-SvmueyhSkgQ.info.json 33.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 13 – Contextual Word Embeddings-S-CspeZ8FHc.info.json 33.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 12 – Subword Models-9oTHFx0Gg3Q.info.json 33.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 14 – Transformers and Self-Attention-5vcj8kSwBCY.info.json 33.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 9 peek()-GIE2XiztuXg.mkv_4.jpg 33.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing-nC9_RfjYwqA.info.json 33.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning-mNqVGB2HkXg.info.json 33.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering-yIdF-17HwSk.info.json 33.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 11 - Introduction to Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-MfIjxPh6Pys.info.json 33.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 19 – Bias in AI-XR8YSRcuVLE.info.json 33.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers-l_yWLAQg7LU.info.json 33.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 20 – Future of NLP + Deep Learning-3wWZBGN-iX8.info.json 33.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow-BhpvH5DuVu8.info.json 33.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2-pnSBZ6TEVjY.info.json 33.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Reinforcement Learning-s5qqjyGiBdc.info.json 33.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks-NVH8EYPHi30.info.json 33.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation-yLYHDSv-288.info.json 33.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects-fyqm8fRDgl0.info.json 33.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks-8CWyBNX6eDo.info.json 33.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Faster ML Development with TensorFlow-FkHWKq86tSw.info.json 33.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.2 Searching Algorithms-ZmOEkt7029g.mkv_4.jpg 33.3 kB
Year 4/Semester 8/4. Self-Driving Cars/Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars-LSX3qdy0dFg.info.json 33.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/22. Regulation of Machine Learning _ Artificial Intelligence in the US-k95abdkdCPk.info.json 33.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 17 – Multitask Learning-M8dsZsEtEsg.info.json 33.3 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial _ Learn C programming _ C language--CpG3oATGIs.info.json 33.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks-CznICCPa63Q.info.json 33.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Shortest Job First (SJF)-t0g9b3SJECg.info.json 33.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/9. Translating Technology Into the Clinic-ZQu2B3GyI_k.info.json 33.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Introduction to Deep Learning-JN6H4rQvwgY.info.json 33.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU-io6Ajf5XkaM.info.json 33.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 1 The Rules-nMExd4DthdA.mkv_4.jpg 33.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars-dWSbItd0HEA.info.json 33.2 kB
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Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation-buptHUzDKcE.info.json 33.2 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems-kKyrR0cFrEg.info.json 32.8 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/18. Analysis of Chromatin Structure-iKLvCuFD1MA.info.json 32.7 kB
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Year 2/Semester 3/2. Statistics/Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution.-w__TNyXH_xA.info.json 32.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10-hWgGJeAvLws.info.json 32.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.3 - A Study of Binomial Probability Distributions-iGKSxMGX0Do.info.json 32.5 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing CPU and GPU TensorFlow on Windows-r7-WPbx8VuY.info.json 32.4 kB
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Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/1. Introduction and Scope-TjZBTDzGeGg.info.json 31.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-O1Xh3H1uEYY.mkv_4.jpg 31.0 kB
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Year 2/Semester 3/2. Statistics/Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known.-VywV9XcA9IE.info.json 30.8 kB
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Year 2/Semester 3/2. Statistics/Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement-z6dtF1eJ3m4.info.json 30.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.2 - An Introduction to Hypothesis Testing-ev8cKdrdA4s.info.json 30.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode-NGGkOa35Sm8.info.json 30.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample-MfkJu7J1LE4.info.json 30.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set-4-FysvtxQEU.info.json 30.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/2. Overview of Clinical Care-DS97JV_o0Fs.mkv_4.jpg 30.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.1.2 Modular Arithmetic-tBmuDlpQ0a8.mkv_4.jpg 30.5 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019-3UGti9Ju5j8.info.json 30.5 kB
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Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.1 Introduction to Functions-BaaC0IOkfWI.mkv_4.jpg 30.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 10 Quick Sort Code-4IE3wIXFVPc.mkv_4.jpg 30.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees and heaps 1 Introduction-lhTCSGRAlXI.mkv_4.jpg 30.2 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II-E-_ecpD5PkE.mkv_4.jpg 30.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/6. Search - Games, Minimax, and Alpha-Beta-STjW3eH0Cik.info.json 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/19. Architectures - GPS, SOAR, Subsumption, Society of Mind-PimSbFGrwXM.info.json 30.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 12 - Backprop & Improving Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-zUazLXZZA2U.mkv_4.jpg 30.1 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.4.1 Recursive Algorithms-d5Ru22xhqJU.mkv_4.jpg 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/11. Learning - Identification Trees, Disorder-SXBG3RGr_Rc.info.json 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/15. Learning - Near Misses, Felicity Conditions-sh3EPjhhd40.info.json 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/7. Constraints - Interpreting Line Drawings-l-tzjenXrvI.info.json 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/14. Learning - Sparse Spaces, Phonology-L73hY1pBcQI.info.json 30.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs-QEw0qEa0E50.info.json 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/18. Representations - Classes, Trajectories, Transitions-bQI0OmJPby4.info.json 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/2. Reasoning - Goal Trees and Problem Solving-PNKj529yY5c.info.json 30.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/10. Introduction to Learning, Nearest Neighbors-09mb78oiPkA.info.json 30.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/21. Probabilistic Inference I-A6Ud6oUCRak.info.json 30.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/4. Search - Depth-First, Hill Climbing, Beam-j1H3jAAGlEA.info.json 30.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/22. Probabilistic Inference II-EC6bf8JCpDQ.info.json 30.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/5. Search - Optimal, Branch and Bound, A-gGQ-vAmdAOI.info.json 30.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/13. Learning - Genetic Algorithms-kHyNqSnzP8Y.info.json 30.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/23. Model Merging, Cross-Modal Coupling, Course Summary-XPEJg_6Cg6o.info.json 29.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III-Hg_uyWezMM0.mkv_4.jpg 29.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/9. Constraints - Visual Object Recognition-gvmfbePC2pc.info.json 29.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/17. Learning - Boosting-UHBmv7qCey4.info.json 29.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.1 The Limit of a Sequence-dsjOpoGcs9Q.mkv_4.jpg 29.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 9 Quick Sort Worst Case-auclbmnm4iA.mkv_4.jpg 29.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/16. Reinforcement Learning, Part 1-YZ5pOgY5hEE.mkv_4.jpg 29.8 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.1 The Power Series L=0 or L=Inf-u5k5Iy9My7Q.mkv_4.jpg 29.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 1 Introduction to complexity-IgeJmTKQlKs.mkv_4.jpg 29.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/1. What Makes Healthcare Unique-vof7x8r_ZUA.mkv_4.jpg 29.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 3 Boundary Conditions-rxpUg4M_jWo.mkv_4.jpg 29.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 7 Contains-TNsfoKv8xvA.mkv_4.jpg 29.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/9. Translating Technology Into the Clinic-ZQu2B3GyI_k.mkv_4.jpg 29.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/3. Reasoning - Goal Trees and Rule-Based Expert Systems-leXa7EKUPFk.info.json 29.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Computer System Operation)-VjPgYcQqqN0.info.json 29.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R7. Near Misses, Arch Learning-J-ocRQCjcwE.info.json 29.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 1 Introduction and Tree levels-BzQGPA_v-vc.mkv_4.jpg 29.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 5 checking violations in the tree-pJWAi6u7Nq4.mkv_4.jpg 29.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R3. Games, Minimax, Alpha-Beta-hM2EAvMkhtk.info.json 29.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R1. Rule-Based Systems-iusTmgQyZ44.info.json 29.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R2. Basic Search, Optimal Search-Tl_p5pgBsyM.info.json 29.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Storage Structure)-YcRd3WMbXnE.info.json 29.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.3 Zero-One Matrices-EkW2QsKyddM.mkv_4.jpg 29.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R6. Boosting-ZZmzMJB-tow.info.json 29.4 kB
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Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Activity Diagrams-XFTAIj2N2Lc.info.json 29.4 kB
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Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.2 Recurrence Relations-QaAQ-bKCUME.mkv_4.jpg 29.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R4. Neural Nets-JMrFgnqSS0w.info.json 29.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-NpC39uS4K4o.info.json 29.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R5. Support Vector Machines-6nDqY8MPLDM.info.json 29.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.1.1 Introduction to Sets-dZbbkoYcSOE.mkv_4.jpg 29.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-b4Dl85FVSok.info.json 29.3 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 24 - Simulation & Memory Latency Tolerance - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-RKyCrSUjd-Q.info.json 29.2 kB
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Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.3 Sorting Algorithms-sE00DnGrqcM.mkv_4.jpg 29.2 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-4_Z07m8tf6k.info.json 29.2 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-WQL2yMciD2M.info.json 29.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-IUk9o9wvX1Y.info.json 29.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-X6DZchnMYcw.info.json 29.1 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-jDHx2K9HxlM.info.json 29.1 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-r9HbMrb98CQ.info.json 29.1 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-CkOPbj5KhP8.info.json 29.0 kB
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Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Tutorial-OkC7HKtiZC0.info.json 29.0 kB
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Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Communication Diagrams-TL4ABTx_RtE.info.json 28.9 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 2 Add Remove-7KhYwHfx40U.mkv_4.jpg 28.8 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Component Diagrams-KQUGFFN4M90.info.json 28.8 kB
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Year 1/Semester 2/4. Computer System Architecture/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-5Oi7tvYE7fI.info.json 28.7 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Sequence Diagrams-cxG-qWthxt4.info.json 28.7 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 State Machine Diagrams-_6TFVzBW7oo.info.json 28.7 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-B2PPyATuSvs.info.json 28.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Risk Management-SA5F_GIXbok.info.json 28.6 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Life Cycle-sARoc6GyCq8.info.json 28.5 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/V Model-5jJ_PBX3XsE.info.json 28.4 kB
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Year 3/Semester 5/2. Web Application Development/Python Django Web Framework - Full Course for Beginners-F5mRW0jo-U4.mkv_4.jpg 28.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Operating System-vBURTt97EkA.mkv_3.jpg 28.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 3 Some examples of big-Oh notation-66ovUEE0bQI.info.json 28.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 1 - Introduction-cQP8WApzIQQ.mkv_4.jpg 28.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 1 Introduction to complexity-IgeJmTKQlKs.info.json 28.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 2 Big Oh Notation-vsgrJrphEHo.info.json 28.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 9 Chaining-nVu_OnyGk6U.mkv_4.jpg 28.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL 1 Introduction--9sHvAnLN_w.mkv_4.jpg 28.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 2 Complete and Full-Lta807sEOQY.mkv_4.jpg 28.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 2 Nodes-91aebuLdWok.mkv_4.jpg 27.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu-z0EknfZdlIs.mkv_4.jpg 27.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 4 addFirst()-yMoHuOZzMpk.mkv_4.jpg 27.5 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 11. Precise Exceptions, State Maintenance_Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu-nMfbtzWizDA.mkv_4.jpg 27.4 kB
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Year 4/Semester 7/2. Natural Language Understanding/Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019-WXLb4h2A724.mkv_4.jpg 27.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.2 The Geometric Series-OX-9dHs4u-Q.mkv_4.jpg 27.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019-tZ_Jrc_nRJY.mkv_4.jpg 26.9 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-NpC39uS4K4o.mkv_4.jpg 26.8 kB
Year 2/Semester 3/1. Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy-9G0w61pZPig.info.json 26.8 kB
Year 2/Semester 3/1. Probability/Probability using combinations _ Probability and Statistics _ Khan Academy-Xqfcy1rqMbI.info.json 26.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/8. Constraints - Search, Domain Reduction-d1KyYyLmGpA.info.json 26.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.2 The Binomial Series-O-Oe9wIr1VQ.mkv_4.jpg 26.7 kB
Year 2/Semester 3/1. Probability/Permutations-XqQTXW7XfYA.info.json 26.7 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 8 Quick Sort-ZHVk2blR45Q.mkv_4.jpg 26.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 2 Big Oh Notation-vsgrJrphEHo.mkv_4.jpg 26.2 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6-qfovbG84EBg.mkv_3.jpg 26.2 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 5 Autoboxing-PN-E2QkgY84.mkv_4.jpg 26.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/3. Reasoning - Goal Trees and Rule-Based Expert Systems-leXa7EKUPFk.mkv_3.jpg 26.0 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Algorithm and Agent - Reinforcement Learning p.2-Gq1Azv_B4-4.mkv_3.jpg 25.9 kB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.mp4_4.webp 25.9 kB
Year 2/Semester 3/1. Probability/Law of large numbers _ Probability and Statistics _ Khan Academy-VpuN8vCQ--M.info.json 25.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties-XE1WlvE1Iig.mkv_4.jpg 25.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.5.1 Work, Work, Work-yTca2zd9XkU.mkv_4.jpg 25.8 kB
Year 2/Semester 3/1. Probability/Expected Value - E(X)-j__Kredt7vY.info.json 25.8 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Intro_Table - Reinforcement Learning p.1-yMk_XtIEzH8.mkv_3.jpg 25.7 kB
Year 2/Semester 3/1. Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy-Jkr4FSrNEVY.info.json 25.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse-zcm8plpCUZI.mkv_4.jpg 25.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.1 Predicate Logic-aqQj-3bSv7k.mkv_4.jpg 25.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/13. Machine Learning for Mammography-2ZXYM1h9pgY.mkv_4.jpg 25.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.4 Hyperbolas-xbibyHk3llQ.mkv_4.jpg 25.3 kB
Year 2/Semester 3/1. Probability/Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy-W7DmsJKLoxc.info.json 25.3 kB
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Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.1.1 Divisibility-Qzy6hHgyb1g.mkv_4.jpg 25.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.1 Systems of Linear Equations-LHsPJ2bQX1U.mkv_4.jpg 24.9 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4-G92TF4xYQcU.mkv_3.jpg 24.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Issues in RPC & How They're Resolved-jH3RezOHROU.mkv_3.jpg 24.7 kB
Year 2/Semester 3/1. Probability/Combinations-bCxMhncR7PU.info.json 24.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues-g4pC_MQagg8.mkv_4.jpg 24.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.1 The Integral Test-QKjOOwzJsc4.mkv_4.jpg 24.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 8 leftRightRotate-4I_vnGpS-Io.mkv_4.jpg 24.6 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/17. Discrete-Time (DT) Frequency Representations-gwa-Rh0u6bs.info.json 24.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/13. Continuous-Time (CT) Feedback and Control, Part 2-gxgV_oOG7Zc.info.json 24.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/7. Discrete Approximation of Continuous-Time Systems-pqkYqU11ETA.info.json 24.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/11. Continuous-Time (CT) Frequency Response and Bode Plot-2X7o37pfdp8.info.json 24.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/2. Discrete-Time (DT) Systems-Ih4s5IFphCw.info.json 24.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/22. Sampling and Quantization-bJvv5SckGeA.info.json 24.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/4. Continuous-Time (CT) Systems-4PlHFcfB8DA.info.json 24.4 kB
Year 4/Semester 8/4. Self-Driving Cars/Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars-p5AtrKqQ3Fw.mkv_3.jpg 24.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/9. Frequency Response-fKaZeD70p8I.info.json 24.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/20. Applications of Fourier Transforms-tp_MdKz3fC8.info.json 24.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/3. Feedback, Poles, and Fundamental Modes-K3OFb7RlbVE.info.json 24.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/14. Fourier Representations-ufU6b7OHb8M.info.json 24.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/21. Sampling-1El4znkRH0g.info.json 24.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/16. Fourier Transform-iWZNTM139xQ.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/19. Relations Among Fourier Representations-HDYAbIA-DNY.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/23. Modulation, Part 1-OT04cEdpK-M.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/6. Laplace Transform-MRy8xxvsZA4.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/1. Signals and Systems--FHm2pQmiSM.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/18. Discrete-Time (DT) Fourier Representations-3D51nqZ-97Q.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/5. Z Transform-iI-ejO9hczw.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/24. Modulation, Part 2-OfMhtibbVXU.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/10. Feedback and Control-TeVSxZgIHAA.info.json 24.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/8. Convolution-w1Z2FX8rQc0.info.json 24.2 kB
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Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/15. Fourier Series-N0CVIoVQkmc.info.json 24.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose-RM24OPadFMA.mkv_4.jpg 24.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.1 Infinite Series-vzwfcNNmn1M.mkv_4.jpg 24.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/25. Audio CD-t2hNMFoIv8w.info.json 24.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Trees 2 Example of building a tree-v6eDztNiJwo.mkv_4.jpg 24.2 kB
Year 2/Semester 3/1. Probability/Probability (part 3)-wBDOCvHYckE.info.json 24.1 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.ko.vtt 24.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Criteria-bWHFY8-rL5I.mkv_3.jpg 24.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 7 LoadFactor()-pMKUrv1NksA.mkv_4.jpg 23.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.2 Polar Graphs-iyMHXLC6GCQ.mkv_4.jpg 23.7 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 1-0JUN9aDxVmI.info.json 23.7 kB
Year 1/Semester 2/1. Calculus part 2/Calclulus II - 10.1.2 Parabolas-b0O96OOOC9w.mkv_4.jpg 23.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 9-KBVkri8k3Ao.info.json 23.5 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 11-vnS9_NKoEKI.info.json 23.5 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 4-edOWKZE1t84.info.json 23.5 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 16-4A5LiJpPDRw.info.json 23.5 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 12-2Gl-yNso0_0.info.json 23.4 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 2-3_o0-zPRQqw.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 24-GAKpnKLnJtc.info.json 23.4 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 15-U7158Q-2rJc.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 18-kqt1YV9dEoE.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 6-gxp_FrgTkQI.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 26-DpxNW0T8CWg.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 8-aHW6HKVC-SY.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 13-VuM1WnwEMRQ.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 19-R9mT5CtdHLg.info.json 23.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples-dFc2XK9dyNs.mkv_4.jpg 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 22-HFqO_8Eoc1U.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 7-LbX51mey3vo.info.json 23.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 21-rfTt7k6Nv-I.info.json 23.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R4. Neural Nets-JMrFgnqSS0w.mkv_3.jpg 23.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.1 Homogeneous System Solutions-ODOztJ6YRUM.mkv_4.jpg 23.3 kB
Year 2/Semester 3/1. Probability/Introduction to Random Variables-IYdiKeQ9xEI.info.json 23.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.2 Introduction to Linear Transformations-ofAcvZVEfBk.mkv_4.jpg 23.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.3.1 Characterizations of Invertible Matrices-Ht2Zl0Hfg_I.mkv_4.jpg 23.3 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 5-rLMikQTOVnI.info.json 23.3 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Stacks and Queues 3 Using arrays to write stacks and queues-sHgHZdZEjz4.mkv_4.jpg 23.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars--j0tc0Y1CIE.mkv_3.jpg 23.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.2 Special Ways to Determine Linear Independence-EdLoNRo0s28.mkv_4.jpg 23.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Programming R Squared - Practical Machine Learning Tutorial with Python p.11-QUyAFokOmow.mkv_3.jpg 23.1 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.1 Inner Product, Vector Length and Distance-C2iKgnGby0I.mkv_4.jpg 23.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.2 Non-Homogeneous System Solutions-jsyutdYtOc4.mkv_4.jpg 23.0 kB
Year 2/Semester 3/1. Probability/Probability (part 2)-6E_NVnboMB8.info.json 23.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.2.1 Row Reduction and Echelon Forms-7xtAYrAtuPc.mkv_4.jpg 23.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Remote Procedure Calls (RPC)-QmhTjsOOrlw.mkv_3.jpg 23.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms – Solved Problems-g6QjVDyGgSE.mkv_3.jpg 23.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Assumptions - Practical Machine Learning Tutorial with Python p.12-Kpxwl2u-Wgk.mkv_3.jpg 22.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.2 The Characteristic Equation-a7KAdb2zqvg.mkv_4.jpg 22.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3-lN5jesocJjk.mkv_3.jpg 22.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.2 Slope Fields-a-twqOEqkdA.mkv_4.jpg 22.9 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8-SvmueyhSkgQ.mkv_3.jpg 22.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Parameters - Practical Machine Learning Tutorial with Python p.33-93AjE1YY5II.mkv_3.jpg 22.8 kB
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Year 4/Semester 8/4. Self-Driving Cars/Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars-dWSbItd0HEA.mkv_3.jpg 22.6 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 4-H0ZgOGWUcJw.info.json 22.6 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 1-O12yTz_8EOw.info.json 22.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means from Scratch - Practical Machine Learning Tutorial with Python p.38-HRoeYblYhkg.mkv_3.jpg 22.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.1 Matrix Transformations-oo2ej9M49Tw.mkv_4.jpg 22.5 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18-3XPhmnf96s0.mkv_3.jpg 22.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.1 Eigenvectors and Eigenvalues-yh5ABTeNUpE.mkv_4.jpg 22.5 kB
Year 4/Semester 8/4. Self-Driving Cars/MIT Self-Driving Cars (2018)-_OCjqIgxwHw.mkv_3.jpg 22.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Dictionary-zKzcvLtKq0c.mkv_2.jpg 22.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Decision Tables-lOpmv4WpJbM.mkv_2.jpg 22.5 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured English-aLwtxmJ5ZgI.mkv_2.jpg 22.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.1 Linearly Independent Sets and Bases-lOyFbpemz58.mkv_4.jpg 22.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.2 The Best Approximation Theorem-tDAH7TZICT8.mkv_4.jpg 22.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/R Squared Theory - Practical Machine Learning Tutorial with Python p.10--fgYp74SNtk.mkv_3.jpg 22.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9-KLGfMGsgP34.mkv_3.jpg 22.4 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (I_O Structure)-F18RiREDkwE.mkv_3.jpg 22.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.1 Introduction to Determinants-UWaeMiP_vK8.mkv_4.jpg 22.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Generation and System Boot-wD0PrF3fGSY.mkv_3.jpg 22.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36-j6jstahQp2A.mkv_3.jpg 22.2 kB
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Year 4/Semester 7/5. Robotics/Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009-CUygqWS7occ.info.json 20.9 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.2 Linear Combinations-9QXnOwSOoWA.mkv_4.jpg 20.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 3)-fViAyFLOYxU.mkv_3.jpg 20.9 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Paradigm-d1cfea_olQk.mkv_2.jpg 20.7 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.1 The Inverse of a Matrix-kCPmiFAdCQ0.mkv_4.jpg 20.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 2)-S3mS8MR7bUY.mkv_3.jpg 20.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14-1i0zu9jHN6U.mkv_3.jpg 20.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.2 Orthogonal Vectors-4yNrSg7b4JA.mkv_4.jpg 20.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31-JHaqodAQqiI.mkv_3.jpg 20.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing CPU and GPU TensorFlow on Windows-r7-WPbx8VuY.mkv_3.jpg 20.5 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 3-vKNpQ_KTXvE.info.json 20.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running our Network - Deep Learning with Neural Networks and TensorFlow-PwAGxqrXSCs.mkv_3.jpg 20.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10-hWgGJeAvLws.mkv_3.jpg 20.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Issues in Image Classification-QYwESy6isuc.mkv_3.jpg 20.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.2 Co-factor Expansion-bTf1ixziEO4.mkv_4.jpg 20.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13-44jq6ano5n0.mkv_3.jpg 20.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/8. RNA-sequence Analysis - Expression, Isoforms-MniYgsZSp30.mkv_3.jpg 20.3 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.mp4_4.webp 20.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.1 The Matrix Equation Ax=b-kcBufqZgP4s.mkv_4.jpg 20.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks-CznICCPa63Q.mkv_3.jpg 20.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.1 Linear Independence-ofGN1Gtgjok.mkv_4.jpg 20.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19-r_D5TTV9-2c.mkv_3.jpg 20.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Euclidean Distance - Practical Machine Learning Tutorial with Python p.15-hl3bQySs8sM.mkv_3.jpg 20.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6-YFxVHD2TNII.mkv_3.jpg 20.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow-BhpvH5DuVu8.mkv_3.jpg 20.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/fork() and exec() System Calls-IFEFVXvjiHY.mkv_3.jpg 20.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Training - Practical Machine Learning Tutorial with Python p.26-QAs2olt7pJ4.mkv_3.jpg 20.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Shortest Job First (SJF)-t0g9b3SJECg.mkv_3.jpg 20.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Clustering Introduction - Practical Machine Learning Tutorial with Python p.34-ZueoXMgCd1c.mkv_3.jpg 19.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.2.1 Orthogonal Sets-zd1hPXMwWhs.mkv_4.jpg 19.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Preemptive and Non-Preemptive Scheduling-4DhFmL-6SDA.mkv_3.jpg 19.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Why Kernels - Practical Machine Learning Tutorial with Python p.30-xqg5S-GrrDQ.mkv_3.jpg 19.9 kB
Year 4/Semester 8/4. Self-Driving Cars/Self-Driving Cars - State of the Art (2019)-sRxaMDDMWQQ.mkv_3.jpg 19.9 kB
Year 4/Semester 8/4. Self-Driving Cars/Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars-0fLSf3NO0-s.mkv_3.jpg 19.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - First Come First Served (FCFS)-7DoP1L9nAAs.mkv_3.jpg 19.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.2 Computation of Ax-mH3Me8P-CO8.mkv_4.jpg 19.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Kernels Introduction - Practical Machine Learning Tutorial with Python p.29-9IfT8KXX_9c.mkv_3.jpg 19.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling (Turnaround Time & Waiting Time)-7TpxxTNrcTg.mkv_3.jpg 19.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/9. Modeling and Discovery of Sequence Motifs-1EMonM7qAU8.mkv_3.jpg 19.7 kB
Year 2/Semester 3/1. Probability/Probability (part 7)-BLcgeLALLnc.info.json 19.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2-pnSBZ6TEVjY.mkv_3.jpg 19.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40-TO8I-nggpzs.mkv_3.jpg 19.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/14. Learning - Sparse Spaces, Phonology-L73hY1pBcQI.mkv_3.jpg 19.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/6. Genome Assembly-ZYW2AeDE6wU.mkv_3.jpg 19.5 kB
Year 2/Semester 3/1. Probability/Probability (part 6)-xf3vfczoCho.info.json 19.4 kB
Year 2/Semester 3/1. Probability/Probability (part 8)-VVr8snbaxZg.info.json 19.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Threads-LOfGJcVnvAk.mkv_3.jpg 19.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using More Data - Deep Learning with Neural Networks and TensorFlow part 8-JeamFbHhmDo.mkv_3.jpg 19.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12-7Wq-QmMT4gM.mkv_3.jpg 19.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.1 The Row Space-4TpVjdY8uGc.mkv_4.jpg 19.2 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems-kKyrR0cFrEg.mkv_3.jpg 19.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7-6rDWwL6irG0.mkv_3.jpg 19.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13-mynJtLhhcXk.mkv_3.jpg 19.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/12. Introduction to Protein Structure; Structure Comparison and Classification-6ROBp57G2ZI.mkv_3.jpg 19.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Design & Implementation-t_McsJ1RGQg.mkv_3.jpg 19.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/RNN Example in Tensorflow - Deep Learning with Neural Networks 11-dFARw8Pm0Gk.mkv_3.jpg 19.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/13. Predicting Protein Structure-j1s9JfZKFqU.mkv_3.jpg 19.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks-i59JDQ9hk10.mkv_3.jpg 19.0 kB
Year 2/Semester 3/1. Probability/Probability (part 4)-W581OBM9rAY.info.json 18.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.1 Vector Spaces-QMwwplztQfY.mkv_4.jpg 18.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5-7fcWfUavO7E.mkv_3.jpg 18.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Understanding Vectors - Practical Machine Learning Tutorial with Python p.21-HHUqhVzctQE.mkv_3.jpg 18.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.1 Null Spaces-Dn7pcKMrU0s.mkv_4.jpg 18.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers-l_yWLAQg7LU.mkv_3.jpg 18.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Computer Vision Meets Social Networks-aFEnWHxUd7s.mkv_3.jpg 18.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/18. Analysis of Chromatin Structure-iKLvCuFD1MA.mkv_3.jpg 18.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1-CvspEt8kSIg.mkv_3.jpg 18.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer-RBSGKlAvoiM.mkv_3.jpg 18.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Computer System Operation)-VjPgYcQqqN0.mkv_3.jpg 18.5 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)-PdyARRNwi7I.mkv_3.jpg 18.4 kB
Year 3/Semester 6/4. Mobile applications - IOS development/Swift Programming Tutorial for Beginners (Full Tutorial)-Ulp1Kimblg0.mkv_3.jpg 18.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/19. Discovering Quantitative Trait Loci (QTLs)-kx_Hks_-SZM.mkv_3.jpg 18.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.2 Column Spaces-2L0qOtgu9eE.mkv_4.jpg 18.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 1)-LuuSXWkDJOo.mkv_3.jpg 18.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/5. Library Complexity and Short Read Alignment (Mapping)-P3ORBMon8aw.mkv_3.jpg 18.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Operating System-vBURTt97EkA.mkv_2.jpg 18.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shared Memory Systems-uHtzOFwgD74.mkv_3.jpg 18.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/17. Learning - Boosting-UHBmv7qCey4.mkv_3.jpg 18.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/First Come First Served Scheduling (Solved Problem 1)-VSMAjMfJ6KQ.mkv_3.jpg 18.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning-mNqVGB2HkXg.mkv_3.jpg 18.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neural Rendering _ MIT 6.S191-BCZ56MU-KhQ.mkv_3.jpg 18.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14-NMd7WjZiCzc.mkv_3.jpg 18.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/22. Causality, Natural Computing, and Engineering Genomes-uD4-fOWeXAY.mkv_3.jpg 17.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU-io6Ajf5XkaM.mkv_3.jpg 17.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks-NVH8EYPHi30.mkv_3.jpg 17.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Recurrent Neural Networks-_h66BW-xNgk.mkv_3.jpg 17.9 kB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.mp4_3.jpg 17.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 1)-Z2KsfhEJOFA.mkv_3.jpg 17.7 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Counting DNA Nucleotides-bqclD2nLmQ8.mkv_3.jpg 15.6 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - GC Content, FASTA File Format, Data Processing.-mw4FSbDro0A.mkv_3.jpg 15.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Python Village-XEO9FzOPiOQ.mkv_3.jpg 15.6 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Multithreading Models & Hyperthreading-HW2Wcx-ktsc.mkv_3.jpg 15.6 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q-Learning Agent Analysis - Reinforcement Learning p.3-CBTbifYx6a8.mkv_2.jpg 15.6 kB
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Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R4. Neural Nets-JMrFgnqSS0w.mkv_2.jpg 15.2 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Priority Scheduling-yKD3pcFvGmY.mkv_2.jpg 15.1 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Engineering Process-Z9mKgHbfPpE.mkv_3.jpg 15.0 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Development Tools Setup.-81Eb_YXmV4g.mkv_3.jpg 14.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt-NhidVhNHfeU.mkv_3.jpg 14.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Computer System Architecture-So9SR3qpWsM.mkv_3.jpg 14.8 kB
Year 1/Semester 1/4. Introduction to Computer Science and Programming/Introduction to Programming and Computer Science - Full Course-zOjov-2OZ0E.mp4_3.jpg 14.8 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Control Block-4s2MKuVYKV8.mkv_3.jpg 14.8 kB
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Year 3/Semester 6/4. Mobile applications - IOS development/iOS Tutorial (2020) - How To Make Your First App-09TeUXjzpKs.mkv_3.jpg 14.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Oriented Design-63dQN4yN9eY.mkv_3.jpg 14.7 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/HIPO Diagram-eqtnhKcYoHk.mkv_3.jpg 14.7 kB
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Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley)-r_SpMPgK2X0.mkv_3.jpg 14.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Remote Procedure Calls (RPC)-QmhTjsOOrlw.mkv_2.jpg 14.6 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Context Switch-vTgccrbYHYs.mkv_3.jpg 14.6 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/Recurrent Neural Networks _ MIT 6.S191-SEnXr6v2ifU.mkv_3.jpg 14.6 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2-KlffppN47lc.mkv_3.jpg 14.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Visualizing - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.3-MqcZYw8Tgpc.mkv_3.jpg 14.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Programming R Squared - Practical Machine Learning Tutorial with Python p.11-QUyAFokOmow.mkv_2.jpg 14.5 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4-G92TF4xYQcU.mkv_2.jpg 14.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/4. Risk Stratification, Part 1-_shuV1tJbTU.mkv_3.jpg 14.4 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/14. Predicting Protein Interactions-C95294_vvQY.mkv_3.jpg 14.4 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Types of System Calls-EavqupVh8ls.mkv_3.jpg 14.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Parameters - Practical Machine Learning Tutorial with Python p.33-93AjE1YY5II.mkv_2.jpg 14.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5-_DAeMDMHgtY.mkv_3.jpg 14.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Metrics and Measures-bnydxXPN_rI.mkv_3.jpg 14.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile-CQ90L5jfldw.mkv_3.jpg 14.3 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Assumptions - Practical Machine Learning Tutorial with Python p.12-Kpxwl2u-Wgk.mkv_2.jpg 14.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning - A Personal Perspective-Z7YMDwzUTds.mkv_2.jpg 14.3 kB
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Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes-a48xeeo5Vnk.mkv_3.jpg 14.2 kB
Year 4/Semester 8/4. Self-Driving Cars/MIT Self-Driving Cars (2018)-_OCjqIgxwHw.mkv_2.jpg 14.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25-AbVtcUBlBok.mkv_2.jpg 14.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Generation and System Boot-wD0PrF3fGSY.mkv_2.jpg 14.2 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Convolutional Neural Networks-H-HVZJ7kGI0.mkv_3.jpg 14.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Machines-daDbY2iDmU0.mkv_3.jpg 14.1 kB
Year 4/Semester 8/4. Self-Driving Cars/Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars-LSX3qdy0dFg.mkv_2.jpg 14.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means from Scratch - Practical Machine Learning Tutorial with Python p.38-HRoeYblYhkg.mkv_2.jpg 14.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22-VngCRWPrNNc.mkv_2.jpg 14.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Paradigm-d1cfea_olQk.mkv_1.jpg 14.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Evolutionary Prototyping Model--tZdpLDWZJ8.mkv_1.jpg 14.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R7. Near Misses, Arch Learning-J-ocRQCjcwE.mkv_3.jpg 14.1 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management-fbwmAzPY8tE.mkv_1.jpg 14.1 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Component Diagrams-KQUGFFN4M90.mkv_3.jpg 14.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to Use a Custom Domain Name for Our Application-D2lwk1Ukgz0.mkv_3.jpg 14.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/2. Local Alignment (BLAST) and Statistics-6Udqou3vmng.mkv_3.jpg 14.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Graphical User Interface-O2xzkCgV0PY.mkv_3.jpg 14.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9-KLGfMGsgP34.mkv_2.jpg 14.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/R Squared Theory - Practical Machine Learning Tutorial with Python p.10--fgYp74SNtk.mkv_2.jpg 14.1 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Sequence Diagrams-cxG-qWthxt4.mkv_3.jpg 14.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18-3XPhmnf96s0.mkv_2.jpg 14.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16-n3RqsMz3-0A.mkv_2.jpg 14.0 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture-FdVuKt_iuSI.mkv_3.jpg 14.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36-j6jstahQp2A.mkv_2.jpg 14.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cohesion and Coupling-bKYlMcyuvcM.mkv_3.jpg 14.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42-k1alPDpSGBE.mkv_2.jpg 14.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 5 - Go, Threads, and Raft-UzzcUS2OHqo.mkv_3.jpg 13.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cyclomatic Complexity Measures-ihkUVzUzztY.mkv_3.jpg 13.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Structures of Operating System-XXPBl20J22w.mkv_3.jpg 13.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35-8p6XaQSIFpY.mkv_2.jpg 13.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4-lqhMTkouBx0.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides.-Wkx0fI4e0fs.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement.-h1aP9HCFu6Y.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation.-7k9nCLrHipQ.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage.-J72gVimVadQ.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 5 - Open Reading Frames.-8xDdJl9dYHg.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame.-Vi9wv6b3deU.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database.-mJDe5QG2L9k.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class.-7HdmQ4AYjZw.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class.-pU9gd1TGUmQ.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions.-Q-ZJ3NYSMEk.mkv_3.jpg 13.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Intro-3joOQ3A3KBQ.mkv_3.jpg 13.9 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads-kt3ZtW9MXhw.mkv_3.jpg 13.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Issues in Image Classification-QYwESy6isuc.mkv_2.jpg 13.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-MB_mzk4dACo.mkv_3.jpg 13.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (I_O Structure)-F18RiREDkwE.mkv_2.jpg 13.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Threading Issues [fork() & exec() System Calls]-o2Sf0GHWpmk.mkv_2.jpg 13.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5-QLVMqwpOLPk.mkv_2.jpg 13.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley)-hry_qqXLej8.mkv_3.jpg 13.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Communication Management-0q-ZVshvypU.mkv_3.jpg 13.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Threading Issues (Thread Cancellation)-wNns0kIDC68.mkv_2.jpg 13.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32-XdcfJX-mDG4.mkv_2.jpg 13.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/15. Learning - Near Misses, Felicity Conditions-sh3EPjhhd40.mkv_3.jpg 13.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Services-TQWERtMoKbI.mkv_3.jpg 13.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Requirements-ryFB-Tl3ZEk.mkv_3.jpg 13.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39-3ERPpzrDkVg.mkv_2.jpg 13.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scrum Development Model-Txz-Tnm_aSM.mkv_3.jpg 13.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/2. Discrete-Time (DT) Systems-Ih4s5IFphCw.mkv_3.jpg 13.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Machine Learning for Scent _ MIT 6.S191-Z5Pw5eWItiw.mkv_3.jpg 13.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scope of CASE Tools-iX6EntDbbYw.mkv_3.jpg 13.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Requirements-8uk-2-mX53U.mkv_3.jpg 13.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17-GWHG3cS2PKc.mkv_2.jpg 13.6 kB
Year 4/Semester 7/4. Computer Vision/MIT 6.S094 - Computer Vision-CLOAswsxudo.mkv_3.jpg 13.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/User Operating System Interface-psDpbWscPuE.mkv_2.jpg 13.6 kB
Year 3/Semester 5/1. Databases (SQL)/Database Design Course - Learn how to design and plan a database for beginners-ztHopE5Wnpc.mkv_2.jpg 13.6 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Communication Diagrams-TL4ABTx_RtE.mkv_2.jpg 13.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/4. Search - Depth-First, Hill Climbing, Beam-j1H3jAAGlEA.mkv_3.jpg 13.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Creation-pSW9d3Oaie8.mkv_3.jpg 13.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Queue Scheduling Algorithm-fvkSXMZaBNY.mkv_3.jpg 13.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6-za5s7RB_VLw.mkv_2.jpg 13.5 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Activity Diagrams-XFTAIj2N2Lc.mkv_3.jpg 13.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Custom K Means - Practical Machine Learning Tutorial with Python p.37-H4JSN_99kig.mkv_2.jpg 13.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Approaches-Urphtihj-Bg.mkv_3.jpg 13.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Threads-LOfGJcVnvAk.mkv_2.jpg 13.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Generative Modeling-yFBFl1cLYx8.mkv_3.jpg 13.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System-3aVqWaLjqS4.mkv_3.jpg 13.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41-P-iAd8b7zl4.mkv_2.jpg 13.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 12 Sort Summary-tgVitpkdkUo.mkv_3.jpg 13.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-JfjT1a0vi4E.mkv_3.jpg 13.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Critical Path Analysis-6e_GCocYNv8.mkv_3.jpg 13.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20-mA5nwGoRAOo.mkv_2.jpg 13.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/k-mer algorithms - Compare and Swap-8XJ8r_n7POY.mkv_3.jpg 13.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Deep Learning with Neural Networks and TensorFlow Introduction-oYbVFhK_olY.mkv_2.jpg 13.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Levels-dBnbaB80aZo.mkv_3.jpg 13.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Management Tools-e1NYaiwIla0.mkv_3.jpg 13.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Object Oriented Design-JK6LYUSGnWo.mkv_3.jpg 13.3 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 1-0JUN9aDxVmI.mkv_3.jpg 13.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14-1i0zu9jHN6U.mkv_2.jpg 13.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Optimization - Practical Machine Learning Tutorial with Python p.27-VhHLpg7ZS4Q.mkv_2.jpg 13.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/16. Fourier Transform-iWZNTM139xQ.mkv_3.jpg 13.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28-yrnhziJk-z8.mkv_2.jpg 13.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Termination-SFc3jt8t5rU.mkv_2.jpg 13.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems 2-LswVAk59goM.mkv_3.jpg 13.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley)-3Hsp5vtQeP0.mkv_3.jpg 13.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/1. Introduction to Computational and Systems Biology-lJzybEXmIj0.mkv_3.jpg 13.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - First Come First Served (FCFS)-7DoP1L9nAAs.mkv_2.jpg 13.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 3)-fViAyFLOYxU.mkv_2.jpg 13.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks-CznICCPa63Q.mkv_2.jpg 13.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Practical Machine Learning Tutorial with Python Intro p.1-OGxgnH8y2NM.mkv_2.jpg 13.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars-LDprUza7yT4.mkv_3.jpg 13.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/1. Introduction and Scope-TjZBTDzGeGg.mkv_3.jpg 13.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars-HKBhP9JISF0.mkv_3.jpg 13.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Configuration Management-nDp6uBFHfQU.mkv_3.jpg 13.1 kB
Year 4/Semester 8/4. Self-Driving Cars/Self-Driving Cars - State of the Art (2019)-sRxaMDDMWQQ.mkv_2.jpg 13.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/9. Modeling and Discovery of Sequence Motifs-1EMonM7qAU8.mkv_2.jpg 13.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Preemptive and Non-Preemptive Scheduling-4DhFmL-6SDA.mkv_2.jpg 13.1 kB
Year 2/Semester 3/1. Probability/Dependent probability example 2 _ Probability and Statistics _ Khan Academy-7BkcNLOf56w.mkv_3.jpg 13.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/2. Reasoning - Goal Trees and Problem Solving-PNKj529yY5c.mkv_3.jpg 13.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Black Box Testing-5KQQtXGBBiA.mkv_3.jpg 13.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Programming Style-9T7p-Sx7G-Y.mkv_3.jpg 13.0 kB
Year 4/Semester 7/5. Robotics/Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009--RRYZ-b9NpI.mkv_3.jpg 13.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing CPU and GPU TensorFlow on Windows-r7-WPbx8VuY.mkv_2.jpg 13.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Modularization-dah74-XZVXc.mkv_3.jpg 13.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Round Robin Scheduling-YzBBJYfwdi8.mkv_2.jpg 13.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/7. ChIP-seq Analysis; DNA-protein Interactions-Ob9xGBPvr_s.mkv_3.jpg 13.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Introduction - 3D Convolutional Neural Network w_ Kaggle Lung Cancer Detection Competiton p.1-ulq9DjCJPDU.mkv_3.jpg 13.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to CPU Scheduling-EWkQl0n0w5M.mkv_2.jpg 13.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31-JHaqodAQqiI.mkv_2.jpg 12.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23-ZDu3LKv9gOI.mkv_2.jpg 12.9 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for Android (Coding TensorFlow)-JnhW5tQ_7Vo.mkv_3.jpg 12.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/8. RNA-sequence Analysis - Expression, Isoforms-MniYgsZSp30.mkv_2.jpg 12.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 3 - Locally Weighted & Logistic Regression _ Stanford CS229 - Machine Learning (Autumn 2018)-het9HFqo1TQ.mkv_3.jpg 12.9 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku-6DI_7Zja8Zc.mkv_3.jpg 12.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Documentation-LO9Hs09BbZQ.mkv_3.jpg 12.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics Tips & Tricks - Hamming Distance-QklZXyR7Q6M.mkv_3.jpg 12.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT Introduction to Deep Learning _ 6.S191-njKP3FqW3Sk.mkv_3.jpg 12.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10-hWgGJeAvLws.mkv_2.jpg 12.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/12. Introduction to Protein Structure; Structure Comparison and Classification-6ROBp57G2ZI.mkv_2.jpg 12.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Re engineering-UXERB3xFgc4.mkv_3.jpg 12.9 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 State Machine Diagrams-_6TFVzBW7oo.mkv_2.jpg 12.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/21. Probabilistic Inference I-A6Ud6oUCRak.mkv_3.jpg 12.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Operating System-vBURTt97EkA.mkv_1.jpg 12.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19-r_D5TTV9-2c.mkv_2.jpg 12.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/14. Learning - Sparse Spaces, Phonology-L73hY1pBcQI.mkv_2.jpg 12.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Feedback-Queue Scheduling Algorithm-1KLuC0knvs8.mkv_3.jpg 12.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/8. Constraints - Search, Domain Reduction-d1KyYyLmGpA.mkv_3.jpg 12.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-dKXbONPqBNY.mkv_3.jpg 12.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13-44jq6ano5n0.mkv_2.jpg 12.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24-bGCafQT5h1s.mkv_2.jpg 12.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Clustering Introduction - Practical Machine Learning Tutorial with Python p.34-ZueoXMgCd1c.mkv_2.jpg 12.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration-q4jPR-M0TAQ.mkv_3.jpg 12.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/6. Genome Assembly-ZYW2AeDE6wU.mkv_2.jpg 12.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Brings Simply Easy Learning-lezQQ0d1pxc.mkv_3.jpg 12.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/10. Introduction to Learning, Nearest Neighbors-09mb78oiPkA.mkv_3.jpg 12.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Barack Obama - Intro to Deep Learning _ MIT 6.S191-l82PxsKHxYc.mkv_3.jpg 12.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 2)-S3mS8MR7bUY.mkv_2.jpg 12.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Interprocess Communication-dJuYKfR8vec.mkv_3.jpg 12.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/22. Probabilistic Inference II-EC6bf8JCpDQ.mkv_3.jpg 12.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow-BhpvH5DuVu8.mkv_2.jpg 12.7 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 1-O12yTz_8EOw.mkv_3.jpg 12.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Faster ML Development with TensorFlow-FkHWKq86tSw.mkv_2.jpg 12.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/fork() and exec() System Calls-IFEFVXvjiHY.mkv_2.jpg 12.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running our Network - Deep Learning with Neural Networks and TensorFlow-PwAGxqrXSCs.mkv_2.jpg 12.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Reinforcement Learning-i6Mi2_QM3rA.mkv_3.jpg 12.7 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Sequence Diagrams-cxG-qWthxt4.mkv_2.jpg 12.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/3. Deep Dive Into Clinical Data-0UFwGJe6ubg.mkv_3.jpg 12.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6-YFxVHD2TNII.mkv_2.jpg 12.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Why Kernels - Practical Machine Learning Tutorial with Python p.30-xqg5S-GrrDQ.mkv_2.jpg 12.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/9. Frequency Response-fKaZeD70p8I.mkv_2.jpg 12.6 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/HTML Crash Course For Absolute Beginners-UB1O30fR-EE.mkv_3.jpg 12.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Component Reusability-dapI52aXDLo.mkv_3.jpg 12.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Training - Practical Machine Learning Tutorial with Python p.26-QAs2olt7pJ4.mkv_2.jpg 12.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems-63BBWWsqsT0.mkv_3.jpg 12.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/6. Search - Games, Minimax, and Alpha-Beta-STjW3eH0Cik.mkv_3.jpg 12.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Kernels Introduction - Practical Machine Learning Tutorial with Python p.29-9IfT8KXX_9c.mkv_2.jpg 12.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191-4PuuziOgSU4.mkv_3.jpg 12.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/18. Representations - Classes, Trajectories, Transitions-bQI0OmJPby4.mkv_3.jpg 12.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial - C++ Notepad App-I96uPDifZ1w.mkv_3.jpg 12.6 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Activity Diagrams-XFTAIj2N2Lc.mkv_2.jpg 12.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 8 - Zookeeper-pbmyrNjzdDk.mkv_3.jpg 12.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling (Turnaround Time & Waiting Time)-7TpxxTNrcTg.mkv_2.jpg 12.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Computer Vision Meets Social Networks-aFEnWHxUd7s.mkv_2.jpg 12.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40-TO8I-nggpzs.mkv_2.jpg 12.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks-NVH8EYPHi30.mkv_2.jpg 12.5 kB
Year 3/Semester 6/4. Mobile applications - IOS development/Swift Programming Tutorial for Beginners (Full Tutorial)-Ulp1Kimblg0.mkv_2.jpg 12.5 kB
Year 2/Semester 3/1. Probability/Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy-obZzOq_wSCg.mkv_3.jpg 12.5 kB
Year 2/Semester 3/1. Probability/Probability (part 8)-VVr8snbaxZg.mkv_3.jpg 12.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13-mynJtLhhcXk.mkv_2.jpg 12.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 19-R9mT5CtdHLg.mkv_3.jpg 12.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/11. RNA Secondary Structure; Biological Functions and Predictions-kUN6rJ21Hno.mkv_3.jpg 12.4 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Component Diagrams-KQUGFFN4M90.mkv_2.jpg 12.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/E-Type Software Evolution--dCJi82Euco.mkv_3.jpg 12.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 18-kqt1YV9dEoE.mkv_3.jpg 12.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Design & Implementation-t_McsJ1RGQg.mkv_2.jpg 12.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process State-jZ_6PXoaoxo.mkv_3.jpg 12.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 2 - C++ Calculator-txGRU7OrTZo.mkv_3.jpg 12.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers-l_yWLAQg7LU.mkv_2.jpg 12.4 kB
Year 2/Semester 3/1. Probability/Probability (part 2)-6E_NVnboMB8.mkv_3.jpg 12.4 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 11 - Cache Consistency - Frangipani--pKNCjUhPjQ.mkv_3.jpg 12.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 10 - Decision Trees and Ensemble Methods _ Stanford CS229 - Machine Learning (Autumn 2018)-wr9gUr-eWdA.mkv_3.jpg 12.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Euclidean Distance - Practical Machine Learning Tutorial with Python p.15-hl3bQySs8sM.mkv_2.jpg 12.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/18. Analysis of Chromatin Structure-iKLvCuFD1MA.mkv_2.jpg 12.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Shortest Job First (SJF)-t0g9b3SJECg.mkv_2.jpg 12.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)-PdyARRNwi7I.mkv_2.jpg 12.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/13. Predicting Protein Structure-j1s9JfZKFqU.mkv_2.jpg 12.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/White Box Testing-qOKPHpXuEvY.mkv_3.jpg 12.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started-UmljXZIypDc.mkv_3.jpg 12.3 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Class Diagrams-3cmzqZzwNDM.mkv_2.jpg 12.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning-mNqVGB2HkXg.mkv_2.jpg 12.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191-8Kn4Gi8iSYQ.mkv_3.jpg 12.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2-pnSBZ6TEVjY.mkv_2.jpg 12.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/22. Causality, Natural Computing, and Engineering Genomes-uD4-fOWeXAY.mkv_2.jpg 12.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/V Model-5jJ_PBX3XsE.mkv_3.jpg 12.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Windows-kI5x9TEz3qk.mkv_3.jpg 12.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/17. Learning - Boosting-UHBmv7qCey4.mkv_2.jpg 12.2 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Deployment Diagrams-nTtQwGoUUNc.mkv_2.jpg 12.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 8-aHW6HKVC-SY.mkv_3.jpg 12.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-U8K13P6loyk.mkv_3.jpg 12.2 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Timing Diagrams-F3yROOhK8qk.mkv_2.jpg 12.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12-7Wq-QmMT4gM.mkv_2.jpg 12.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Programming-qpUQpxpeixA.mkv_3.jpg 12.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars-0fLSf3NO0-s.mkv_2.jpg 12.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems-kKyrR0cFrEg.mkv_2.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Components of CASE Tools-L_r106MpBis.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Flow Diagram-Oe2I5OLYF3I.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Point-LgMwjnqkjZg.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Pseudo Code-Q6uewwnqRBk.mkv_3.jpg 12.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5-7fcWfUavO7E.mkv_2.jpg 12.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using More Data - Deep Learning with Neural Networks and TensorFlow part 8-JeamFbHhmDo.mkv_2.jpg 12.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley)-COwyx_APxRE.mkv_3.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Levels-K7npUb4czqg.mkv_3.jpg 12.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley)-uvE_HeNHTzI.mkv_3.jpg 12.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 11 - Introduction to Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-MfIjxPh6Pys.mkv_3.jpg 12.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/System Calls-lhToWeuWWfw.mkv_3.jpg 12.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Computer System Operation)-VjPgYcQqqN0.mkv_2.jpg 12.1 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/7. Discrete Approximation of Continuous-Time Systems-pqkYqU11ETA.mkv_3.jpg 12.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks-i59JDQ9hk10.mkv_2.jpg 12.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 1)-Z2KsfhEJOFA.mkv_2.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Tutorial-OkC7HKtiZC0.mkv_2.jpg 12.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/5. Library Complexity and Short Read Alignment (Mapping)-P3ORBMon8aw.mkv_2.jpg 12.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/3. Reasoning - Goal Trees and Rule-Based Expert Systems-leXa7EKUPFk.mkv_1.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Data Dictionary-zKzcvLtKq0c.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Decision Tables-lOpmv4WpJbM.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Halstead’s Complexity Measures-2bjMmjOwSuE.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Approaches-J5jM4wquM3Q.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Validation and Verification-bGOyenMJUPw.mkv_0.jpg 12.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured English-aLwtxmJ5ZgI.mkv_0.jpg 12.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Understanding Vectors - Practical Machine Learning Tutorial with Python p.21-HHUqhVzctQE.mkv_2.jpg 12.0 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19)-s65BigoMV_I.mkv_3.jpg 12.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/8. Convolution-w1Z2FX8rQc0.mkv_3.jpg 12.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7-6rDWwL6irG0.mkv_2.jpg 12.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/RNN Example in Tensorflow - Deep Learning with Neural Networks 11-dFARw8Pm0Gk.mkv_2.jpg 12.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer-RBSGKlAvoiM.mkv_2.jpg 12.0 kB
Year 2/Semester 3/1. Probability/Probability (part 4)-W581OBM9rAY.mkv_3.jpg 12.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley)-Vq4kd_jlnGk.mkv_3.jpg 12.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Introduction to Deep Learning-JN6H4rQvwgY.mkv_2.jpg 12.0 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 16-4A5LiJpPDRw.mkv_3.jpg 12.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley)-1ADOHPV8mN4.mkv_2.jpg 11.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Design-nzLvmyBgOfk.mkv_3.jpg 11.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 1)-LuuSXWkDJOo.mkv_2.jpg 11.9 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/14. Fourier Representations-ufU6b7OHb8M.mkv_3.jpg 11.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shared Memory Systems-uHtzOFwgD74.mkv_2.jpg 11.9 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/2. Discrete-Time (DT) Systems-Ih4s5IFphCw.mkv_2.jpg 11.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 17-PPCnYiTpbCo.mkv_3.jpg 11.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/CASE Tools-_74Nra8h5Go.mkv_3.jpg 11.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations-aHC3uTkT9r8.mkv_3.jpg 11.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neural Rendering _ MIT 6.S191-BCZ56MU-KhQ.mkv_2.jpg 11.8 kB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.mp4_2.jpg 11.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Engineering-pi2nP3rXZ3k.mkv_3.jpg 11.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/9. Constraints - Visual Object Recognition-gvmfbePC2pc.mkv_3.jpg 11.8 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for iOS (Coding TensorFlow)-0SBtAjUauOc.mkv_3.jpg 11.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/7. Constraints - Interpreting Line Drawings-l-tzjenXrvI.mkv_3.jpg 11.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/19. Discovering Quantitative Trait Loci (QTLs)-kx_Hks_-SZM.mkv_2.jpg 11.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Reinforcement Learning-s5qqjyGiBdc.mkv_2.jpg 11.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 8 remove and find-xo9_PkC5Ml0.mkv_3.jpg 11.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain)-ulLx2iPTIcs.mkv_2.jpg 11.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley)-XMcNhZZwlL4.mkv_3.jpg 11.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1-CvspEt8kSIg.mkv_2.jpg 11.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/11. Learning - Identification Trees, Disorder-SXBG3RGr_Rc.mkv_3.jpg 11.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Risk Management-SA5F_GIXbok.mkv_3.jpg 11.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/First Come First Served Scheduling (Solved Problem 1)-VSMAjMfJ6KQ.mkv_2.jpg 11.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Resource Management-u3Y71H98AZU.mkv_3.jpg 11.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Overview of Software Engineering-ITlyBV4ttts.mkv_3.jpg 11.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination-acOktTcTVEQ.mkv_3.jpg 11.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU-io6Ajf5XkaM.mkv_2.jpg 11.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-ibPL7T9iEwY.mkv_3.jpg 11.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/5. Search - Optimal, Branch and Bound, A-gGQ-vAmdAOI.mkv_2.jpg 11.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3-ViO56ASqeks.mkv_3.jpg 11.6 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/16. Fourier Transform-iWZNTM139xQ.mkv_2.jpg 11.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Sort Algorithm-JUOyKSZScW0.mkv_3.jpg 11.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/4. Continuous-Time (CT) Systems-4PlHFcfB8DA.mkv_3.jpg 11.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley)-kXmKxtXEXyQ.mkv_3.jpg 11.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Project Management-FCn0xVZQx3w.mkv_3.jpg 11.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14-NMd7WjZiCzc.mkv_2.jpg 11.5 kB
Year 4/Semester 8/4. Self-Driving Cars/Drago Anguelov (Waymo) - MIT Self-Driving Cars-Q0nGo2-y0xY.mkv_2.jpg 11.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Life Cycle-sARoc6GyCq8.mkv_3.jpg 11.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R3. Games, Minimax, Alpha-Beta-hM2EAvMkhtk.mkv_3.jpg 11.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 3-SVsT7oG4ap8.mkv_3.jpg 11.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley)-uVKyubtOWr0.mkv_3.jpg 11.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R1. Rule-Based Systems-iusTmgQyZ44.mkv_2.jpg 11.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Recurrent Neural Networks-_h66BW-xNgk.mkv_2.jpg 11.4 kB
Year 3/Semester 6/1. Non-relational Databases/An Introduction To NoSQL Databases-uD3p_rZPBUQ.mkv_3.jpg 11.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 2)-gHKSmz-W0x0.mkv_2.jpg 11.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems 2-LswVAk59goM.mkv_2.jpg 11.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R5. Support Vector Machines-6nDqY8MPLDM.mkv_3.jpg 11.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page-1PkNiYlkkjo.mkv_3.jpg 11.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree 2-UcOxGmj45AA.mkv_3.jpg 11.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation-IdBSLvoP6uY.mkv_3.jpg 11.3 kB
Year 4/Semester 8/4. Self-Driving Cars/Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars-p5AtrKqQ3Fw.mkv_1.jpg 11.3 kB
Year 2/Semester 3/1. Probability/Conditional probability and combinations _ Probability and Statistics _ Khan Academy-xw6utjoyMi4.mkv_3.jpg 11.3 kB
Year 4/Semester 8/4. Self-Driving Cars/Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars-dWSbItd0HEA.mkv_1.jpg 11.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-zLP_X4wyHbY.mkv_3.jpg 11.3 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 5-rLMikQTOVnI.mkv_3.jpg 11.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-qJmTZwzf1L4.mkv_3.jpg 11.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley)-eG_d-rGt-Z8.mkv_3.jpg 11.2 kB
Year 2/Semester 3/1. Probability/Probability (part 6)-xf3vfczoCho.mkv_3.jpg 11.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Evolution Laws-zNroF_WeIB0.mkv_3.jpg 11.2 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/4. Comparative Genomic Analysis of Gene Regulation-14m9MW-qMhg.mkv_3.jpg 11.2 kB
Year 2/Semester 3/1. Probability/Probability (part 5)-2XToWi9j0Tk.mkv_2.jpg 11.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/14. Causal Inference, Part 1-gRkUhg9Wb-I.mkv_3.jpg 11.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 20-TdTFYVjzs1I.mkv_3.jpg 11.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Generative Modeling-JVb54xhEw6Y.mkv_2.jpg 11.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree-M6lYob8STMI.mkv_3.jpg 11.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Learning New Frontiers _ MIT 6.S191-tfM_DdbGTLs.mkv_2.jpg 11.1 kB
Year 2/Semester 3/1. Probability/Expected Value - E(X)-j__Kredt7vY.mkv_3.jpg 11.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 5 - Finish Paint App-F-ha0F2yLqA.mkv_3.jpg 11.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 2-QWVBu_GlUgI.mkv_3.jpg 11.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Stacks and Queues-JvGZh_BdF-8.mkv_3.jpg 11.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/16. Learning - Support Vector Machines-_PwhiWxHK8o.mkv_3.jpg 11.1 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.1 The Natural Exponential Function-Z7tgZdizM7M.mkv_3.jpg 10.4 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.3 Integrals of the Natural Exponential Function-z740Ovp-3xA.mkv_3.jpg 10.4 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.2 The Number e-N7Z-k6E47KY.mkv_3.jpg 10.4 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/System Programs-UWDzhz8MVqc.mkv_2.jpg 10.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 4-edOWKZE1t84.mkv_3.jpg 10.4 kB
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Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 13 - Debugging ML Models and Error Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-ORrStCArmP4.mkv_3.jpg 10.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 3 Some examples of big-Oh notation-66ovUEE0bQI.mkv_3.jpg 10.4 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 3-vKNpQ_KTXvE.mkv_2.jpg 10.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 15 - EM Algorithm & Factor Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-tw6cmL5STuY.mkv_3.jpg 10.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Convolutional Neural Networks _ MIT 6.S191-iaSUYvmCekI.mkv_2.jpg 10.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt-NhidVhNHfeU.mkv_2.jpg 10.4 kB
Year 2/Semester 3/1. Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy-gyqodNhM3EU.mkv_3.jpg 10.4 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.2 L’Hôpital’s Rule-7tgJB7aw-kg.mkv_3.jpg 10.4 kB
Year 2/Semester 3/1. Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy-8TIben0bJpU.mkv_3.jpg 10.4 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/CSS Crash Course For Absolute Beginners-yfoY53QXEnI.mkv_3.jpg 10.4 kB
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Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/6. Laplace Transform-MRy8xxvsZA4.mkv_3.jpg 10.4 kB
Year 4/Semester 7/5. Robotics/Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009-KNRMz9YPCOY.mkv_3.jpg 10.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/14. Fourier Representations-ufU6b7OHb8M.mkv_2.jpg 10.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley)-h1Ygos9lDfE.mkv_3.jpg 10.4 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.1 Exponential Functions with Bases Other than e-nEQ7bWzMUn8.mkv_3.jpg 10.4 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.3 Applications of Bases Other than e-XacAqmeVBuI.mkv_3.jpg 10.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Parameters - Practical Machine Learning Tutorial with Python p.33-93AjE1YY5II.mkv_1.jpg 10.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Main Memory _ Chapter-8 _ Operating System-m7iXeDyFe4I.mkv_3.jpg 10.3 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Algorithm and Agent - Reinforcement Learning p.2-Gq1Azv_B4-4.mkv_1.jpg 10.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25-AbVtcUBlBok.mkv_1.jpg 10.3 kB
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Year 4/Semester 8/4. Self-Driving Cars/Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars--j0tc0Y1CIE.mkv_1.jpg 10.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 4 - Perceptron & Generalized Linear Model _ Stanford CS229 - Machine Learning (Autumn 2018)-iZTeva0WSTQ.mkv_3.jpg 10.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Algorithms-f5OD9CKrZEw.mkv_3.jpg 10.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software User Interface Design-Ky_80dA7mD0.mkv_3.jpg 10.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Sort Algorithm-JUOyKSZScW0.mkv_2.jpg 10.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Characteristics of Good Software-ehuYDUUuRio.mkv_3.jpg 10.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts--s7e_Fy6NRU.mkv_2.jpg 10.3 kB
Year 2/Semester 3/1. Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy-xSc4oLA9e8o.mkv_3.jpg 10.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Issues in Image Classification-QYwESy6isuc.mkv_1.jpg 10.3 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3-lN5jesocJjk.mkv_1.jpg 10.2 kB
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Year 4/Semester 8/5. Machine Learning for Healthcare/18. Disease Progression Modeling and Subtyping, Part 1-yYWyLZrdRRI.mkv_3.jpg 10.2 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.1 Integrate Inverse Trigonometric Functions-ofTzdKxMcOg.mkv_3.jpg 10.2 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 7-LbX51mey3vo.mkv_3.jpg 10.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars-LSX3qdy0dFg.mkv_1.jpg 10.2 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset--tyBEsHSv7w.mkv_2.jpg 10.2 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile-CQ90L5jfldw.mkv_2.jpg 10.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-CkOPbj5KhP8.mkv_3.jpg 10.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 6 recursive add-eg7wGS9ySYs.mkv_3.jpg 10.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/25. Interpretability-wDLzLN1tArA.mkv_3.jpg 10.2 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Intro_Table - Reinforcement Learning p.1-yMk_XtIEzH8.mkv_1.jpg 10.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42-k1alPDpSGBE.mkv_1.jpg 10.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley)-LsRXYEc-yDM.mkv_3.jpg 10.2 kB
Year 4/Semester 7/4. Computer Vision/OpenCV Course - Full Tutorial with Python-oXlwWbU8l2o.mkv_3.jpg 10.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java 2-iR5wyCaIayk.mkv_3.jpg 10.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Reinforcement Learning _ MIT 6.S191-nZfaHIxDD5w.mkv_2.jpg 10.2 kB
Year 4/Semester 7/5. Robotics/Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009-Bhbk4bWV1Uc.mkv_3.jpg 10.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Assumptions - Practical Machine Learning Tutorial with Python p.12-Kpxwl2u-Wgk.mkv_1.jpg 10.1 kB
Year 1/Semester 1/4. Introduction to Computer Science and Programming/Introduction to Programming and Computer Science - Full Course-zOjov-2OZ0E.mp4_2.jpg 10.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12a - Neural Nets-uXt8qF2Zzfo.mkv_3.jpg 10.1 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/1. Signals and Systems--FHm2pQmiSM.mkv_3.jpg 10.1 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 23-nDLe6_sPSfs.mkv_3.jpg 10.1 kB
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Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers-INja7C5_vqk.mkv_2.jpg 10.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Development Tools Setup.-81Eb_YXmV4g.mkv_2.jpg 10.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 9 - Approx_Estimation Error & ERM _ Stanford CS229 - Machine Learning (Autumn 2018)-iVOxMcumR4A.mkv_3.jpg 10.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Counting DNA Nucleotides-bqclD2nLmQ8.mkv_2.jpg 10.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations.-3eBIHdyGJLQ.mkv_2.jpg 10.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - GC Content, FASTA File Format, Data Processing.-mw4FSbDro0A.mkv_2.jpg 10.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Python Village-XEO9FzOPiOQ.mkv_2.jpg 10.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Transcription and Reverse Complement-G8-fNk9vlaY.mkv_2.jpg 10.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means from Scratch - Practical Machine Learning Tutorial with Python p.38-HRoeYblYhkg.mkv_1.jpg 10.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Introduction to Deep Learning-5v1JnYv_yWs.mkv_2.jpg 10.1 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions-yFPwq0jlGt4.mkv_3.jpg 10.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server-Sa_kQheCnds.mkv_2.jpg 10.1 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II-jJ7JbQBTChM.mkv_3.jpg 10.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/12. Machine Learning for Pathology-PKCMH5KOcxQ.mkv_3.jpg 10.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Control Block-4s2MKuVYKV8.mkv_2.jpg 10.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 12-2Gl-yNso0_0.mkv_3.jpg 10.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Intro - Practical Machine Learning Tutorial with Python p.2-JcI5Vnw0b2c.mkv_1.jpg 10.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-WQL2yMciD2M.mkv_3.jpg 10.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Charts-vdUO-sGA1DA.mkv_3.jpg 10.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/19. Architectures - GPS, SOAR, Subsumption, Society of Mind-PimSbFGrwXM.mkv_3.jpg 10.1 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36-j6jstahQp2A.mkv_1.jpg 10.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-QKdiZSfwg-g.mkv_3.jpg 10.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley)-KRenWKpfGo4.mkv_2.jpg 10.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Remote Procedure Calls (RPC)-QmhTjsOOrlw.mkv_1.jpg 10.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/User Operating System Interface-psDpbWscPuE.mkv_1.jpg 10.0 kB
Year 2/Semester 3/1. Probability/Probability (part 3)-wBDOCvHYckE.mkv_3.jpg 10.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/19. Disease Progression Modeling and Subtyping, Part 2-aJqgO8e37_g.mkv_3.jpg 10.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18-3XPhmnf96s0.mkv_1.jpg 10.0 kB
Year 3/Semester 6/4. Mobile applications - IOS development/iOS Tutorial (2020) - How To Make Your First App-09TeUXjzpKs.mkv_2.jpg 10.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement-z6dtF1eJ3m4.mkv_3.jpg 10.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22-VngCRWPrNNc.mkv_1.jpg 10.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Spiral Model-z8CqlcPjmGE.mkv_3.jpg 10.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Manager-kXuzVl1Eo-E.mkv_3.jpg 10.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 3-SVsT7oG4ap8.mkv_2.jpg 10.0 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Communication Diagrams-TL4ABTx_RtE.mkv_1.jpg 10.0 kB
Year 3/Semester 5/1. Databases (SQL)/Database Design Course - Learn how to design and plan a database for beginners-ztHopE5Wnpc.mkv_1.jpg 10.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 3 - GFS-EpIgvowZr00.mkv_3.jpg 10.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/R Squared Theory - Practical Machine Learning Tutorial with Python p.10--fgYp74SNtk.mkv_1.jpg 10.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Synchronization _ Chapter-6 _ Operating System-EOGyyyzmEGw.mkv_2.jpg 9.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32-XdcfJX-mDG4.mkv_1.jpg 9.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5-QLVMqwpOLPk.mkv_1.jpg 9.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score--Lj6SvaVGr4.mkv_3.jpg 9.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41-P-iAd8b7zl4.mkv_1.jpg 9.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Threading Issues (Thread Cancellation)-wNns0kIDC68.mkv_1.jpg 9.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39-3ERPpzrDkVg.mkv_1.jpg 9.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 6-gxp_FrgTkQI.mkv_3.jpg 9.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-P-mXr9adbCc.mkv_3.jpg 9.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/16. Protein Interaction Networks-RBPcKbEvK3U.mkv_2.jpg 9.9 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu-y94DjKHPYVk.mkv_3.jpg 9.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/8. Natural Language Processing (NLP), Part 2-lkO2ocJBsmI.mkv_3.jpg 9.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 17 resize-AA0KuKV3ARU.mkv_3.jpg 9.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses-kEMJRjEdNzM.mkv_3.jpg 9.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-IUk9o9wvX1Y.mkv_2.jpg 9.9 kB
Year 4/Semester 7/5. Robotics/Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009-EqAYRo4wXxY.mkv_3.jpg 9.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9-KLGfMGsgP34.mkv_1.jpg 9.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.3 Constructing New Logical Equivalences-u5y1zte2w_4.mkv_3.jpg 9.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu-2Sa55D_Ve4U.mkv_3.jpg 9.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - First Come First Served (FCFS)-7DoP1L9nAAs.mkv_1.jpg 9.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16-n3RqsMz3-0A.mkv_1.jpg 9.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Machines-daDbY2iDmU0.mkv_2.jpg 9.9 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 10 - Cloud Replicated DB, Aurora-jJSh54J1s5o.mkv_3.jpg 9.9 kB
Year 4/Semester 8/4. Self-Driving Cars/MIT Self-Driving Cars (2018)-_OCjqIgxwHw.mkv_1.jpg 9.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Threads-LOfGJcVnvAk.mkv_1.jpg 9.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20-mA5nwGoRAOo.mkv_1.jpg 9.8 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 2-FI8xtVaI068.mkv_3.jpg 9.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23-ZDu3LKv9gOI.mkv_1.jpg 9.8 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 State Machine Diagrams-_6TFVzBW7oo.mkv_1.jpg 9.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (I_O Structure)-F18RiREDkwE.mkv_1.jpg 9.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 15 - Big Data - Spark-mzIoSW-cInA.mkv_3.jpg 9.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set-4-FysvtxQEU.mkv_3.jpg 9.8 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4-G92TF4xYQcU.mkv_1.jpg 9.8 kB
Year 4/Semester 7/5. Robotics/Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009-g-VehRFsDcI.mkv_3.jpg 9.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 16 - Independent Component Analysis & RL _ Stanford CS229 - Machine Learning (Autumn 2018)-YQA9lLdLig8.mkv_3.jpg 9.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running the Network - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.6-CPZ5ihaNfJc.mkv_2.jpg 9.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to CPU Scheduling-EWkQl0n0w5M.mkv_1.jpg 9.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Scheduling-2h3eWaPx8SA.mkv_2.jpg 9.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to Use a Custom Domain Name for Our Application-D2lwk1Ukgz0.mkv_2.jpg 9.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 3 TrickleUp-6i15PI_VP-E.mkv_3.jpg 9.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Round Robin Scheduling-YzBBJYfwdi8.mkv_1.jpg 9.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Types of System Calls-EavqupVh8ls.mkv_2.jpg 9.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 22-HFqO_8Eoc1U.mkv_3.jpg 9.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/10. Markov and Hidden Markov Models of Genomic and Protein Features-d5NMrA2HkG4.mkv_3.jpg 9.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Deep Learning with Neural Networks and TensorFlow Introduction-oYbVFhK_olY.mkv_1.jpg 9.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 13 Constructor for a chained hash.-VtU1EQPIS0w.mkv_3.jpg 9.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture-FdVuKt_iuSI.mkv_2.jpg 9.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Recurrent Neural Networks _ MIT 6.S191-SEnXr6v2ifU.mkv_2.jpg 9.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions-0ZioAyD2CO0.mkv_3.jpg 9.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 2 Nodes and Size-Dfu7PeZ3v2Q.mkv_3.jpg 9.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 20 - Blockstack-XvXK_vZ0BNw.mkv_3.jpg 9.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution.-w__TNyXH_xA.mkv_3.jpg 9.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management Activities-eOTcPOvT-H4.mkv_3.jpg 9.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 2-QWVBu_GlUgI.mkv_2.jpg 9.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Deadlocks _ Chapter-7 _ Operating System-KrbjE6IRrM4.mkv_3.jpg 9.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Optimization - Practical Machine Learning Tutorial with Python p.27-VhHLpg7ZS4Q.mkv_1.jpg 9.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations-kBYt67NDToI.mkv_3.jpg 9.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Custom K Means - Practical Machine Learning Tutorial with Python p.37-H4JSN_99kig.mkv_1.jpg 9.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4-27FPv1VHSsQ.mkv_3.jpg 9.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes-a48xeeo5Vnk.mkv_2.jpg 9.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-AXf_C5qOm8o.mkv_2.jpg 9.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/14. Learning - Sparse Spaces, Phonology-L73hY1pBcQI.mkv_1.jpg 9.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to Operating System-vBURTt97EkA.mkv_0.jpg 9.7 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs-iWea12EAu6U.mkv_3.jpg 9.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6-za5s7RB_VLw.mkv_1.jpg 9.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Quick Sort-mN5ib1XasSA.mkv_2.jpg 9.7 kB
Year 4/Semester 8/4. Self-Driving Cars/Self-Driving Cars - State of the Art (2019)-sRxaMDDMWQQ.mkv_1.jpg 9.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-4_Z07m8tf6k.mkv_2.jpg 9.7 kB
Year 2/Semester 3/1. Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy-Jkr4FSrNEVY.mkv_3.jpg 9.7 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors-8rXD5-xhemo.mkv_3.jpg 9.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Sockets in Operating System-uagKTbohimU.mkv_2.jpg 9.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Heaps-eFCn6udv3gQ.mkv_3.jpg 9.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 18 - Fork Consistency, Certificate Transparency-UKdLJ7-0iFM.mkv_3.jpg 9.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/3. Feedback, Poles, and Fundamental Modes-K3OFb7RlbVE.mkv_3.jpg 9.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks-CznICCPa63Q.mkv_1.jpg 9.7 kB
Year 4/Semester 7/5. Robotics/Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009-Gho0bmTsnA4.mkv_3.jpg 9.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-2RhGMpY18zw.mkv_3.jpg 9.7 kB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.mp4_3.jpg 9.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17-GWHG3cS2PKc.mkv_1.jpg 9.6 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu-Z1jsJKAlWjw.mkv_2.jpg 9.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24-bGCafQT5h1s.mkv_1.jpg 9.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-93CVEOXM3T4.mkv_2.jpg 9.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Generation and System Boot-wD0PrF3fGSY.mkv_1.jpg 9.6 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Deployment Diagrams-nTtQwGoUUNc.mkv_1.jpg 9.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 11-vnS9_NKoEKI.mkv_3.jpg 9.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14-1i0zu9jHN6U.mkv_1.jpg 9.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/23. Model Merging, Cross-Modal Coupling, Course Summary-XPEJg_6Cg6o.mkv_2.jpg 9.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Table-B4vqVDeERhI.mkv_2.jpg 9.6 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/21. Sampling-1El4znkRH0g.mkv_3.jpg 9.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/9. Modeling and Discovery of Sequence Motifs-1EMonM7qAU8.mkv_1.jpg 9.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 2)-S3mS8MR7bUY.mkv_1.jpg 9.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Termination-SFc3jt8t5rU.mkv_1.jpg 9.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Stacks and Queues-JvGZh_BdF-8.mkv_2.jpg 9.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Shell Sort-IlRyO9dXsYE.mkv_2.jpg 9.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Rapid Application Development (RAD)-yngKRepAgSg.mkv_3.jpg 9.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling (Turnaround Time & Waiting Time)-7TpxxTNrcTg.mkv_1.jpg 9.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Convolutional Neural Networks-H-HVZJ7kGI0.mkv_2.jpg 9.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31-JHaqodAQqiI.mkv_1.jpg 9.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 20 - C++ Regex 2-NPccLyAHD6Y.mkv_3.jpg 9.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Context Switch-vTgccrbYHYs.mkv_2.jpg 9.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Services-TQWERtMoKbI.mkv_2.jpg 9.5 kB
Year 3/Semester 6/4. Mobile applications - IOS development/Swift Programming Tutorial for Beginners (Full Tutorial)-Ulp1Kimblg0.mkv_1.jpg 9.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Practical Machine Learning Tutorial with Python Intro p.1-OGxgnH8y2NM.mkv_1.jpg 9.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution-4Ew60JEPGUk.mkv_3.jpg 9.5 kB
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Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28-yrnhziJk-z8.mkv_1.jpg 9.5 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Timing Diagrams-F3yROOhK8qk.mkv_1.jpg 9.5 kB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.mp4_1.jpg 9.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java-195KUinjBpU.mkv_3.jpg 9.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 18 - Continous State MDP & Model Simulation _ Stanford CS229 - Machine Learning (Autumn 2018)-QFu5nuc-S0s.mkv_3.jpg 9.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 13 - Advanced Functions-TGOXttOoI0U.mkv_3.jpg 9.5 kB
Year 4/Semester 7/5. Robotics/Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009-4kB94UDwJ0M.mkv_3.jpg 9.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae-ZJeBDVMbhJE.mkv_3.jpg 9.4 kB
Year 4/Semester 7/5. Robotics/Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009-qtmmwILxVR4.mkv_3.jpg 9.4 kB
Year 2/Semester 3/1. Probability/Frequency stability property short film _ Computer Science _ Khan Academy-vVXbgbMp0oY.mkv_3.jpg 9.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Documentation-ApqnZIWPw7s.mkv_2.jpg 9.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 3 - Qt Charts-MHn3ZTWcyXk.mkv_3.jpg 9.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads-kt3ZtW9MXhw.mkv_2.jpg 9.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/8. Convolution-w1Z2FX8rQc0.mkv_2.jpg 9.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/17. Discrete-Time (DT) Frequency Representations-gwa-Rh0u6bs.mkv_2.jpg 9.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley)-UnDajgiVmic.mkv_3.jpg 9.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/14. Predicting Protein Interactions-C95294_vvQY.mkv_2.jpg 9.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10-hWgGJeAvLws.mkv_1.jpg 9.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/11. Continuous-Time (CT) Frequency Response and Bode Plot-2X7o37pfdp8.mkv_3.jpg 9.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Preemptive and Non-Preemptive Scheduling-4DhFmL-6SDA.mkv_1.jpg 9.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Generative Modeling-yFBFl1cLYx8.mkv_2.jpg 9.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 14 - Templates & Iterators-ywNZAebgEZw.mkv_3.jpg 9.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 18 - Associative Containers & Container Adapters-IaTzi_bsuJU.mkv_3.jpg 9.4 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Activity Diagrams-XFTAIj2N2Lc.mkv_1.jpg 9.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19-r_D5TTV9-2c.mkv_1.jpg 9.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-jDHx2K9HxlM.mkv_3.jpg 9.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Visualizing - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.3-MqcZYw8Tgpc.mkv_2.jpg 9.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13-44jq6ano5n0.mkv_1.jpg 9.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 10 - Object Oriented Programming-ZOKLjJF54Xc.mkv_3.jpg 9.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Structures of Operating System-XXPBl20J22w.mkv_2.jpg 9.3 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Sequence Diagrams-cxG-qWthxt4.mkv_1.jpg 9.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Faster ML Development with TensorFlow-FkHWKq86tSw.mkv_1.jpg 9.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/5. Z Transform-iI-ejO9hczw.mkv_3.jpg 9.3 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Class Diagrams-3cmzqZzwNDM.mkv_1.jpg 9.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 5 - Go, Threads, and Raft-UzzcUS2OHqo.mkv_2.jpg 9.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/9. Frequency Response-fKaZeD70p8I.mkv_1.jpg 9.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 12 - Operator Overloading & File I_O-gc7Eqba1c5g.mkv_3.jpg 9.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley)-UzmUAA8qFaM.mkv_2.jpg 9.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions-2mIERXU7wWY.mkv_3.jpg 9.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Euclidean Distance - Practical Machine Learning Tutorial with Python p.15-hl3bQySs8sM.mkv_1.jpg 9.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Clustering Introduction - Practical Machine Learning Tutorial with Python p.34-ZueoXMgCd1c.mkv_1.jpg 9.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 21 - C++ Regex 3-tsR2rNTX3D0.mkv_3.jpg 9.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley)-hry_qqXLej8.mkv_2.jpg 9.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System-3aVqWaLjqS4.mkv_2.jpg 9.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 15 - Smart Pointers & Polymorphic Templates-q_LUYLV3l44.mkv_3.jpg 9.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/2. Local Alignment (BLAST) and Statistics-6Udqou3vmng.mkv_2.jpg 9.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown.-onTQhD7osY4.mkv_3.jpg 9.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Functional Programming-tKxSKN9yWDA.mkv_2.jpg 9.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Training - Practical Machine Learning Tutorial with Python p.26-QAs2olt7pJ4.mkv_1.jpg 9.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 19 - C++ Regular Expressions-9K4N6MO_R1Y.mkv_3.jpg 9.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Waterfall Model-fN6JgY6BEFs.mkv_3.jpg 9.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 16 - C++ Threads-IdwJdJw65tU.mkv_3.jpg 9.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/22. Causality, Natural Computing, and Engineering Genomes-uD4-fOWeXAY.mkv_1.jpg 9.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 13 Circular Linked Lists-7ELt4-z4YeI.mkv_3.jpg 9.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 19 - Reward Model & Linear Dynamical System _ Stanford CS229 - Machine Learning (Autumn 2018)-0rt2CsEQv6U.mkv_3.jpg 9.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal-UJrrXUkQyCc.mkv_3.jpg 9.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 3)-fViAyFLOYxU.mkv_1.jpg 9.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Shortest Job First (SJF)-t0g9b3SJECg.mkv_1.jpg 9.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Queue Scheduling Algorithm-fvkSXMZaBNY.mkv_2.jpg 9.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Machine Learning for Scent _ MIT 6.S191-Z5Pw5eWItiw.mkv_2.jpg 9.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 12 – Subword Models-9oTHFx0Gg3Q.mkv_3.jpg 9.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Creation-pSW9d3Oaie8.mkv_2.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.1 Increasing and Decreasing Intervals-oMWaVs5yxdo.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.2 The First Derivative Test-UFPZWLNIulo.mkv_3.jpg 9.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/3. Reasoning - Goal Trees and Rule-Based Expert Systems-leXa7EKUPFk.mkv_0.jpg 9.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers-l_yWLAQg7LU.mkv_1.jpg 9.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks-NVH8EYPHi30.mkv_1.jpg 9.2 kB
Year 4/Semester 7/4. Computer Vision/MIT 6.S094 - Computer Vision-CLOAswsxudo.mkv_2.jpg 9.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal-tvsArHvVRPw.mkv_3.jpg 9.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Install C++ & NetBeans-DamuE8TM3xo.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.1 A Summary of Curve Sketching-qE5wCY-Kxnk.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.2 Curve Sketching - Full Practice-hahDwDNirpc.mkv_3.jpg 9.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Entity Relationship Model-p7GsjrXoW28.mkv_2.jpg 9.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/fork() and exec() System Calls-IFEFVXvjiHY.mkv_1.jpg 9.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Command Line Interface (CLI)-4aEETgIA_Wo.mkv_2.jpg 9.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-RBgeCCW5Hjs.mkv_3.jpg 9.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 5 - Strings & Math-xxMG5HwCK6w.mkv_3.jpg 9.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Why Kernels - Practical Machine Learning Tutorial with Python p.30-xqg5S-GrrDQ.mkv_1.jpg 9.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops-tT8ICXAO_-4.mkv_3.jpg 9.2 kB
Year 4/Semester 7/5. Robotics/Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009--RRYZ-b9NpI.mkv_2.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.1 Intervals of Concavity-c7_MkBWojC4.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.2 Points of Inflection-QrxGozcFxXg.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.3 The Second Derivative Test-xIkm1CXpmL4.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.4 Putting It All Together-j-HND1gJCg4.mkv_3.jpg 9.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/7. Natural Language Processing (NLP), Part 1-IiD3YZkkCmE.mkv_3.jpg 9.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 3 - Pointers & Functions-7pLldfZunJI.mkv_3.jpg 9.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 17 - Sequence Containers-KJWOm1bXUxM.mkv_3.jpg 9.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2-KlffppN47lc.mkv_2.jpg 9.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-X6DZchnMYcw.mkv_3.jpg 9.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 12 Double Linked Lists-v8xyoI11PsU.mkv_3.jpg 9.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Oriented Design-63dQN4yN9eY.mkv_2.jpg 9.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/6. Laplace Transform-MRy8xxvsZA4.mkv_2.jpg 9.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/6. Physiological Time-Series-lLhfDSOwWtU.mkv_3.jpg 9.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Recursion-neuDuf_i8Sg.mkv_2.jpg 9.2 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-B2PPyATuSvs.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.1 Determine Finite Limits at Infinity-hJ1rhSj6-0I.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.2 Determine Horizontal Asymptotes of a Function-SkiSWGU7Guk.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.3 Horizontal Asymptotes - Tricky Examples-qLUxbW1CbLg.mkv_3.jpg 9.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.4 Determine Infinite Limits at Infinity-kMo0hLq__Zw.mkv_3.jpg 9.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 11 Coding Rotations-Y-nmgO8ALjM.mkv_3.jpg 9.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 6 - Solving Problems-VPT9jXt3GC0.mkv_3.jpg 9.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 3 Introduction to Generic Programming-_dy9JnEXekU.mkv_3.jpg 9.1 kB
Year 2/Semester 3/1. Probability/Law of large numbers _ Probability and Statistics _ Khan Academy-VpuN8vCQ--M.mkv_3.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/8. RNA-sequence Analysis - Expression, Isoforms-MniYgsZSp30.mkv_1.jpg 9.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.1 Extrema of a Function on an Interval-toNQxJhXbmY.mkv_3.jpg 9.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.2 Relative Extrema of a Function on an Open Interval-a3uHiD94dkE.mkv_3.jpg 9.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.3 Find Extrema on a Closed Interval-yhEZ5qxBrLY.mkv_3.jpg 9.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 11 - Polymorphism-k7O7AGfDI2c.mkv_3.jpg 9.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Design & Implementation-t_McsJ1RGQg.mkv_1.jpg 9.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running our Network - Deep Learning with Neural Networks and TensorFlow-PwAGxqrXSCs.mkv_1.jpg 9.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5-_DAeMDMHgtY.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)-PdyARRNwi7I.mkv_1.jpg 9.1 kB
Year 4/Semester 7/5. Robotics/Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009-Z8oMbOj9IWM.mkv_3.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides.-Wkx0fI4e0fs.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement.-h1aP9HCFu6Y.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation.-7k9nCLrHipQ.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage.-J72gVimVadQ.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 5 - Open Reading Frames.-8xDdJl9dYHg.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame.-Vi9wv6b3deU.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database.-mJDe5QG2L9k.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class.-7HdmQ4AYjZw.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class.-pU9gd1TGUmQ.mkv_2.jpg 9.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions.-Q-ZJ3NYSMEk.mkv_2.jpg 9.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 9 - Lambda Expressions-482weZjwVHY.mkv_3.jpg 9.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Big O Notations-V6mKVRU1evU.mkv_2.jpg 9.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/4. Risk Stratification, Part 1-_shuV1tJbTU.mkv_2.jpg 9.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley)-r_SpMPgK2X0.mkv_2.jpg 9.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cost of Maintenance-Tq2p3eegguI.mkv_2.jpg 9.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Engineering Process-Z9mKgHbfPpE.mkv_2.jpg 9.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/HIPO Diagram-eqtnhKcYoHk.mkv_2.jpg 9.1 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/1. Signals and Systems--FHm2pQmiSM.mkv_2.jpg 9.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions-A3Ffwsnad0k.mkv_3.jpg 9.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 4 - Exception Handling & Looping-HD72quXVuE4.mkv_3.jpg 9.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow-BhpvH5DuVu8.mkv_1.jpg 9.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6-YFxVHD2TNII.mkv_1.jpg 9.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 15-U7158Q-2rJc.mkv_3.jpg 9.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/15. Learning - Near Misses, Felicity Conditions-sh3EPjhhd40.mkv_2.jpg 9.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Barack Obama - Intro to Deep Learning _ MIT 6.S191-l82PxsKHxYc.mkv_2.jpg 9.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 7 - Solving Problems-EKKOi4E7pm0.mkv_3.jpg 9.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Kernels Introduction - Practical Machine Learning Tutorial with Python p.29-9IfT8KXX_9c.mkv_1.jpg 9.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing CPU and GPU TensorFlow on Windows-r7-WPbx8VuY.mkv_1.jpg 9.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation-yLYHDSv-288.mkv_3.jpg 9.0 kB
Year 4/Semester 8/4. Self-Driving Cars/Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars-dWSbItd0HEA.mkv_0.jpg 9.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/22. Sampling and Quantization-bJvv5SckGeA.mkv_3.jpg 9.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-PhUo1IMo6UU.mkv_3.jpg 9.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 4 Hash Functions for Strings-jtMwp0FqEcg.mkv_3.jpg 9.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu-TUFins4z6o4.mkv_3.jpg 9.0 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku-6DI_7Zja8Zc.mkv_2.jpg 9.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown-3AkOjmtz0XU.mkv_3.jpg 9.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 7 complete example of adding data to an AVL tree.-7m94k2Qhg68.mkv_3.jpg 9.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 7 left rotate-fpESZSHrsp0.mkv_3.jpg 9.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/k-mer algorithms - Compare and Swap-8XJ8r_n7POY.mkv_2.jpg 9.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Intro-3joOQ3A3KBQ.mkv_2.jpg 9.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/15. Causal Inference, Part 2-g5v-NvNoJQQ.mkv_3.jpg 9.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Computer Vision Meets Social Networks-aFEnWHxUd7s.mkv_1.jpg 9.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40-TO8I-nggpzs.mkv_1.jpg 9.0 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Tutorial-OkC7HKtiZC0.mkv_1.jpg 9.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP-EAJoRA0KX7I.mkv_3.jpg 9.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects-fyqm8fRDgl0.mkv_3.jpg 8.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 20 - RL Debugging and Diagnostics _ Stanford CS229 - Machine Learning (Autumn 2018)-pLhPQynL0tY.mkv_3.jpg 8.9 kB
Year 2/Semester 3/1. Probability/Poisson process 1 _ Probability and Statistics _ Khan Academy-3z-M6sbGIZ0.mkv_3.jpg 8.9 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/2. Discrete-Time (DT) Systems-Ih4s5IFphCw.mkv_1.jpg 8.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.1 Optimization Problems-LnXewON-ifk.mkv_3.jpg 8.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.2 Optimization Practice-Q5CrW8yQo-0.mkv_3.jpg 8.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/1. Introduction to Computational and Systems Biology-lJzybEXmIj0.mkv_2.jpg 8.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13-mynJtLhhcXk.mkv_1.jpg 8.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R7. Near Misses, Arch Learning-J-ocRQCjcwE.mkv_2.jpg 8.9 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 2 - RPC and Threads-gA4YXUJX7t8.mkv_3.jpg 8.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/12. Introduction to Protein Structure; Structure Comparison and Classification-6ROBp57G2ZI.mkv_1.jpg 8.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/RNN Example in Tensorflow - Deep Learning with Neural Networks 11-dFARw8Pm0Gk.mkv_1.jpg 8.9 kB
Year 2/Semester 3/1. Probability/Exactly three heads in five flips _ Probability and Statistics _ Khan Academy-udG9KhNMKJw.mkv_3.jpg 8.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'-a86Vj_7R2aQ.mkv_3.jpg 8.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Golden Rules-gxQmn3_JMZ0.mkv_2.jpg 8.9 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/20. Applications of Fourier Transforms-tp_MdKz3fC8.mkv_3.jpg 8.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree 2-UcOxGmj45AA.mkv_2.jpg 8.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning-mNqVGB2HkXg.mkv_1.jpg 8.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations-kjC_kVBxQA0.mkv_3.jpg 8.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12-7Wq-QmMT4gM.mkv_1.jpg 8.9 kB
Year 2/Semester 3/1. Probability/Addition rule for probability _ Probability and Statistics _ Khan Academy-QE2uR6Z-NcU.mkv_3.jpg 8.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.1 Plane Curves and Parametric Equations-CK8pTQoav3g.mkv_3.jpg 8.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley)-Pk1E3Iod7eQ.mkv_3.jpg 8.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Quality Attributes-TT_rUCMTmhg.mkv_2.jpg 8.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-MB_mzk4dACo.mkv_2.jpg 8.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 12 Sort Summary-tgVitpkdkUo.mkv_2.jpg 8.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Interprocess Communication-dJuYKfR8vec.mkv_2.jpg 8.9 kB
Year 2/Semester 3/1. Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy-NSSoMafbBqQ.mkv_3.jpg 8.8 kB
Year 3/Semester 6/1. Non-relational Databases/MongoDB In 30 Minutes-pWbMrx5rVBE.mkv_3.jpg 8.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/13. Predicting Protein Structure-j1s9JfZKFqU.mkv_1.jpg 8.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Types of Maintenance-nA4ev7jM6ek.mkv_2.jpg 8.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 19-R9mT5CtdHLg.mkv_2.jpg 8.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/11. Differential Diagnosis-VuKOW8d4KHw.mkv_3.jpg 8.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain)-ulLx2iPTIcs.mkv_1.jpg 8.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/13. Continuous-Time (CT) Feedback and Control, Part 2-gxgV_oOG7Zc.mkv_3.jpg 8.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191-8Kn4Gi8iSYQ.mkv_2.jpg 8.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known-kv8u7yl6VQk.mkv_3.jpg 8.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial - C++ Notepad App-I96uPDifZ1w.mkv_2.jpg 8.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 17 - COPS, Causal Consistency-fR_NB714EAI.mkv_3.jpg 8.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/6. Genome Assembly-ZYW2AeDE6wU.mkv_1.jpg 8.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration-q4jPR-M0TAQ.mkv_2.jpg 8.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Brings Simply Easy Learning-lezQQ0d1pxc.mkv_2.jpg 8.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation.-d7w9fRlDXQk.mkv_3.jpg 8.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 11 Iterators-bx0ebSGUKto.mkv_3.jpg 8.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/17. Learning - Boosting-UHBmv7qCey4.mkv_1.jpg 8.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Reinforcement Learning-i6Mi2_QM3rA.mkv_2.jpg 8.8 kB
Year 4/Semester 8/4. Self-Driving Cars/Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars-0fLSf3NO0-s.mkv_1.jpg 8.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.1 The Product and Quotient Rules-KPXIuZwQxts.mkv_3.jpg 8.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples-zEdovJYAGwU.mkv_3.jpg 8.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shared Memory Systems-uHtzOFwgD74.mkv_1.jpg 8.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 15 – Natural Language Generation-4uG1NMKNWCU.mkv_3.jpg 8.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Manual Vs Automated Testing-3J4-aCF37z0.mkv_2.jpg 8.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 1-0JUN9aDxVmI.mkv_2.jpg 8.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 8 - Data Splits, Models & Cross-Validation _ Stanford CS229 - Machine Learning (Autumn 2018)-rjbkWSTjHzM.mkv_3.jpg 8.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley)-1ADOHPV8mN4.mkv_1.jpg 8.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/24. Robustness to Dataset Shift-VpfAWhLBjQY.mkv_3.jpg 8.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics Tips & Tricks - Hamming Distance-QklZXyR7Q6M.mkv_2.jpg 8.8 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions-hWEZsyF3ZZc.mkv_3.jpg 8.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 1)-Z2KsfhEJOFA.mkv_1.jpg 8.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.1 Rolle’s Theorem-m-XwUqPoCpA.mkv_3.jpg 8.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.2 The Mean Value Theorem-VYvS5kWS2tg.mkv_3.jpg 8.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/4. Search - Depth-First, Hill Climbing, Beam-j1H3jAAGlEA.mkv_2.jpg 8.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Understanding Vectors - Practical Machine Learning Tutorial with Python p.21-HHUqhVzctQE.mkv_1.jpg 8.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/10. Application of Machine Learning to Cardiac Imaging-MoEaRpLNo9A.mkv_3.jpg 8.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using More Data - Deep Learning with Neural Networks and TensorFlow part 8-JeamFbHhmDo.mkv_1.jpg 8.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT Introduction to Deep Learning _ 6.S191-njKP3FqW3Sk.mkv_2.jpg 8.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 2 - C++ Calculator-txGRU7OrTZo.mkv_2.jpg 8.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4-lqhMTkouBx0.mkv_2.jpg 8.7 kB
Year 3/Semester 6/3. Practical Implementation of Neural Networks/TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial-tPYj3fFJGjk.mp4_3.jpg 8.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms – Solved Problems-g6QjVDyGgSE.mkv_0.jpg 8.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.1 Basic Differentiation Rules-hbiX_8jPtB0.mkv_3.jpg 8.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Computer System Operation)-VjPgYcQqqN0.mkv_1.jpg 8.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191-4PuuziOgSU4.mkv_2.jpg 8.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 1)-LuuSXWkDJOo.mkv_1.jpg 8.7 kB
Year 4/Semester 8/4. Self-Driving Cars/Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars-p5AtrKqQ3Fw.mkv_0.jpg 8.7 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/HTML Crash Course For Absolute Beginners-UB1O30fR-EE.mkv_2.jpg 8.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer-RBSGKlAvoiM.mkv_1.jpg 8.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/7. ChIP-seq Analysis; DNA-protein Interactions-Ob9xGBPvr_s.mkv_2.jpg 8.7 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial _ Learn C programming _ C language--CpG3oATGIs.mkv_3.jpg 8.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Feedback-Queue Scheduling Algorithm-1KLuC0knvs8.mkv_2.jpg 8.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2-pnSBZ6TEVjY.mkv_1.jpg 8.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Metrics and Measures-bnydxXPN_rI.mkv_2.jpg 8.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 6 - Support Vector Machines _ Stanford CS229 - Machine Learning (Autumn 2018)-lDwow4aOrtg.mkv_3.jpg 8.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.2 - An Introduction to Hypothesis Testing-ev8cKdrdA4s.mkv_3.jpg 8.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Levels-dBnbaB80aZo.mkv_2.jpg 8.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Introduction to Deep Learning-JN6H4rQvwgY.mkv_1.jpg 8.7 kB
Year 4/Semester 8/4. Self-Driving Cars/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars-HKBhP9JISF0.mkv_2.jpg 8.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/1. Introduction and Scope-TjZBTDzGeGg.mkv_2.jpg 8.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process State-jZ_6PXoaoxo.mkv_2.jpg 8.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample-MfkJu7J1LE4.mkv_3.jpg 8.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-r9HbMrb98CQ.mkv_3.jpg 8.6 kB
Year 2/Semester 3/4. Intro to Client-side development/Learn JavaScript - Full Course for Beginners-PkZNo7MFNFg.mp4_3.jpg 8.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Maintenance Activities-X5cBc9z_Ibs.mkv_2.jpg 8.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/18. Analysis of Chromatin Structure-iKLvCuFD1MA.mkv_1.jpg 8.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5-7fcWfUavO7E.mkv_1.jpg 8.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Requirements-8uk-2-mX53U.mkv_2.jpg 8.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/First Come First Served Scheduling (Solved Problem 1)-VSMAjMfJ6KQ.mkv_1.jpg 8.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cyclomatic Complexity Measures-ihkUVzUzztY.mkv_2.jpg 8.6 kB
Year 4/Semester 8/4. Self-Driving Cars/Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars-LDprUza7yT4.mkv_2.jpg 8.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities-OFU64V8rEDM.mkv_3.jpg 8.6 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 5 - GDA & Naive Bayes _ Stanford CS229 - Machine Learning (Autumn 2018)-nt63k3bfXS0.mkv_3.jpg 8.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws-aXobNQArW64.mkv_3.jpg 8.6 kB
Year 2/Semester 3/1. Probability/Dependent probability example 2 _ Probability and Statistics _ Khan Academy-7BkcNLOf56w.mkv_2.jpg 8.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/22. Regulation of Machine Learning _ Artificial Intelligence in the US-k95abdkdCPk.mkv_3.jpg 8.6 kB
Year 4/Semester 8/4. Self-Driving Cars/Drago Anguelov (Waymo) - MIT Self-Driving Cars-Q0nGo2-y0xY.mkv_1.jpg 8.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7-6rDWwL6irG0.mkv_1.jpg 8.6 kB
Year 2/Semester 3/1. Probability/Probability using combinations _ Probability and Statistics _ Khan Academy-Xqfcy1rqMbI.mkv_3.jpg 8.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems-kKyrR0cFrEg.mkv_1.jpg 8.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.2 The Root Test-z85YBJUiu9s.mkv_3.jpg 8.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence-ToEWg269oV0.mkv_3.jpg 8.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neural Rendering _ MIT 6.S191-BCZ56MU-KhQ.mkv_1.jpg 8.6 kB
Year 1/Semester 2/4. Computer System Architecture/Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-cIhExOjdFPI.mkv_3.jpg 8.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems 2-LswVAk59goM.mkv_1.jpg 8.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks-i59JDQ9hk10.mkv_1.jpg 8.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 4 TrickleDown-jHZu1GV27tI.mkv_3.jpg 8.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/16. Fourier Transform-iWZNTM139xQ.mkv_1.jpg 8.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate-cgaFm9TJ_zg.mkv_3.jpg 8.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations-oWJB0NaIcEE.mkv_3.jpg 8.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 24 - Simulation & Memory Latency Tolerance - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-RKyCrSUjd-Q.mkv_2.jpg 8.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Graphical User Interface-O2xzkCgV0PY.mkv_2.jpg 8.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation-lPe-rQA_afU.mkv_3.jpg 8.5 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.mp4_3.jpg 8.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Reinforcement Learning-s5qqjyGiBdc.mkv_1.jpg 8.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms-AbHn39y8eUo.mkv_3.jpg 8.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/6. Search - Games, Minimax, and Alpha-Beta-STjW3eH0Cik.mkv_2.jpg 8.5 kB
Year 2/Semester 3/1. Probability/Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy-uzkc-qNVoOk.mkv_3.jpg 8.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 17 - MDPs & Value_Policy Iteration _ Stanford CS229 - Machine Learning (Autumn 2018)-d5gaWTo6kDM.mkv_3.jpg 8.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU-io6Ajf5XkaM.mkv_1.jpg 8.5 kB
Year 4/Semester 7/5. Robotics/Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009-9qnpQ1hVlqw.mkv_3.jpg 8.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.1 Find the Slope of a Tangent Line-zCxbsCbgAKo.mkv_3.jpg 8.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.2 Derivatives Using the Limit Definition--Agj1BVzQ8U.mkv_3.jpg 8.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.3 Differentiability and Continuity-V2VsldkLE90.mkv_3.jpg 8.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 19 - Bitcoin-K_euhRou98Y.mkv_3.jpg 8.5 kB
Year 2/Semester 3/1. Probability/Probability (part 2)-6E_NVnboMB8.mkv_2.jpg 8.5 kB
Year 2/Semester 3/1. Probability/Finding probability example 2 _ Probability and Statistics _ Khan Academy-mLE-SlOZToc.mkv_3.jpg 8.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Issues in RPC & How They're Resolved-jH3RezOHROU.mkv_0.jpg 8.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Management Tools-e1NYaiwIla0.mkv_2.jpg 8.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started-UmljXZIypDc.mkv_2.jpg 8.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Approaches-Urphtihj-Bg.mkv_2.jpg 8.4 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Requirements-ryFB-Tl3ZEk.mkv_2.jpg 8.4 kB
Year 4/Semester 7/5. Robotics/Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009-E-sOMfDVe8o.mkv_3.jpg 8.4 kB
Year 2/Semester 3/1. Probability/Free throwing probability _ Probability and Statistics _ Khan Academy-iMqCSgqzmiQ.mkv_3.jpg 8.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Windows-kI5x9TEz3qk.mkv_2.jpg 8.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R4. Neural Nets-JMrFgnqSS0w.mkv_0.jpg 8.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 10 Testing the list-XUiRmbBn71w.mkv_3.jpg 8.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Elicitation Techniques-1UEzc2E71Hk.mkv_2.jpg 8.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scrum Development Model-Txz-Tnm_aSM.mkv_2.jpg 8.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 26-DpxNW0T8CWg.mkv_3.jpg 8.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations-aHC3uTkT9r8.mkv_2.jpg 8.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/2. Reasoning - Goal Trees and Problem Solving-PNKj529yY5c.mkv_2.jpg 8.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation-WNgcmn5cXjI.mkv_3.jpg 8.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning-RN8qpSs8ozY.mkv_3.jpg 8.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cohesion and Coupling-bKYlMcyuvcM.mkv_2.jpg 8.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java 2-iR5wyCaIayk.mkv_2.jpg 8.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 6 Merge Sort-qdv3i6X0PiQ.mkv_3.jpg 8.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.3 - A Study of Binomial Probability Distributions-iGKSxMGX0Do.mkv_3.jpg 8.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.1 General and Particular Solutions to Differential Equations-564pn3CaoyQ.mkv_3.jpg 8.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/10. Introduction to Learning, Nearest Neighbors-09mb78oiPkA.mkv_2.jpg 8.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.1 Implicit and Explicit Functions-I0JjW7JkiGk.mkv_3.jpg 8.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.2 Implicit Differentiation-e1wr8svxdeA.mkv_3.jpg 8.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/5. Library Complexity and Short Read Alignment (Mapping)-P3ORBMon8aw.mkv_1.jpg 8.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-JfjT1a0vi4E.mkv_2.jpg 8.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Recurrent Neural Networks-_h66BW-xNgk.mkv_1.jpg 8.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-dKXbONPqBNY.mkv_2.jpg 8.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems-63BBWWsqsT0.mkv_1.jpg 8.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/3. Deep Dive Into Clinical Data-0UFwGJe6ubg.mkv_2.jpg 8.3 kB
Year 4/Semester 8/4. Self-Driving Cars/Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars--j0tc0Y1CIE.mkv_0.jpg 8.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 2)-gHKSmz-W0x0.mkv_1.jpg 8.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/13. Learning - Genetic Algorithms-kHyNqSnzP8Y.mkv_3.jpg 8.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 5 HeapSort-LbB357_RwlY.mkv_3.jpg 8.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Image Domain Transfer (NVIDIA)-_MzaThb_jno.mkv_1.jpg 8.3 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-6-4pJt1M18s.mkv_3.jpg 8.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/5. Search - Optimal, Branch and Bound, A-gGQ-vAmdAOI.mkv_1.jpg 8.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 6 - Fault Tolerance - Raft (1)-64Zp3tzNbpE.mkv_3.jpg 8.3 kB
Year 4/Semester 7/5. Robotics/Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009-6v3Ln2ACtqI.mkv_3.jpg 8.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 17 – Multitask Learning-M8dsZsEtEsg.mkv_3.jpg 8.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score-JaVA-nXKVRI.mkv_3.jpg 8.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree-M6lYob8STMI.mkv_2.jpg 8.3 kB
Year 4/Semester 7/5. Robotics/Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009-7la43dvoLh0.mkv_3.jpg 8.3 kB
Year 2/Semester 3/1. Probability/Probability (part 8)-VVr8snbaxZg.mkv_2.jpg 8.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R1. Rule-Based Systems-iusTmgQyZ44.mkv_1.jpg 8.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley)-3Hsp5vtQeP0.mkv_2.jpg 8.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Critical Path Analysis-6e_GCocYNv8.mkv_2.jpg 8.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Generative Modeling-JVb54xhEw6Y.mkv_1.jpg 8.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/18. Representations - Classes, Trajectories, Transitions-bQI0OmJPby4.mkv_2.jpg 8.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/19. Discovering Quantitative Trait Loci (QTLs)-kx_Hks_-SZM.mkv_1.jpg 8.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/8. Constraints - Search, Domain Reduction-d1KyYyLmGpA.mkv_2.jpg 8.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Bloom Filters-heEDL9usFgs.mkv_3.jpg 8.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling - Solved Problem (Part 2)-wioTortHb_g.mkv_1.jpg 8.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Issues in Image Classification-QYwESy6isuc.mkv_0.jpg 8.3 kB
Year 2/Semester 3/1. Probability/Probability without equally likely events _ Probability and Statistics _ Khan Academy-RI874OSJp1U.mkv_3.jpg 8.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.2 Rates of Change-xpSqZGYB5P0.mkv_3.jpg 8.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 14 Review of constructors-CQPy29vNa1M.mkv_3.jpg 8.2 kB
Year 4/Semester 7/5. Robotics/Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009-ufM3HLTZ47k.mkv_3.jpg 8.2 kB
Year 2/Semester 3/1. Probability/Probability (part 5)-2XToWi9j0Tk.mkv_1.jpg 8.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling - Solved Problem (Part 1)-QlCmgBOMjlI.mkv_1.jpg 8.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 2 Hash Functions-XYmI-T-JJso.mkv_3.jpg 8.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/22. Probabilistic Inference II-EC6bf8JCpDQ.mkv_2.jpg 8.2 kB
Year 2/Semester 3/1. Probability/Introduction to Random Variables-IYdiKeQ9xEI.mkv_3.jpg 8.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Introduction - 3D Convolutional Neural Network w_ Kaggle Lung Cancer Detection Competiton p.1-ulq9DjCJPDU.mkv_2.jpg 8.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scope of CASE Tools-iX6EntDbbYw.mkv_2.jpg 8.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 2-3_o0-zPRQqw.mkv_2.jpg 8.2 kB
Year 2/Semester 3/1. Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy-9G0w61pZPig.mkv_3.jpg 8.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.2 Derivatives of Trigonometric Functions-ic3SMMxLoW8.mkv_3.jpg 8.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.3 Higher Order Derivatives-uEX4Ufm7AlY.mkv_3.jpg 8.2 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention-XXtpJxZBa2c.mkv_3.jpg 8.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Priority Scheduling-yKD3pcFvGmY.mkv_0.jpg 8.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning - A Personal Perspective-Z7YMDwzUTds.mkv_0.jpg 8.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14-NMd7WjZiCzc.mkv_1.jpg 8.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Learning New Frontiers _ MIT 6.S191-tfM_DdbGTLs.mkv_1.jpg 8.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion-iZRSKK0aepM.mkv_3.jpg 8.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shortest Job First Scheduling (Solved Problem 2)-ypOnf9mnFYg.mkv_1.jpg 8.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/21. Probabilistic Inference I-A6Ud6oUCRak.mkv_2.jpg 8.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Algorithms-f5OD9CKrZEw.mkv_2.jpg 8.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 12 - Distributed Transactions-aDp99WDIM_4.mkv_3.jpg 8.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/23. Modulation, Part 1-OT04cEdpK-M.mkv_3.jpg 8.2 kB
Year 2/Semester 3/1. Probability/Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy-PddbEVNMgTY.mkv_3.jpg 8.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility-OP3l8VUEE-8.mkv_3.jpg 8.2 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19)-s65BigoMV_I.mkv_2.jpg 8.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/CPU and I_O Burst Cycles-pVzb3TUcDLo.mkv_1.jpg 8.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections-zEKfcK6A_Rg.mkv_3.jpg 8.1 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/12. Continuous-Time (CT) Feedback and Control, Part 1-5w2BvCPuYY0.mkv_3.jpg 8.1 kB
Year 2/Semester 3/1. Probability/Combinations-bCxMhncR7PU.mkv_3.jpg 8.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1-CvspEt8kSIg.mkv_1.jpg 8.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Structure-fvN98a_7AT4.mkv_1.jpg 8.1 kB
Year 2/Semester 3/1. Probability/Probability (part 4)-W581OBM9rAY.mkv_2.jpg 8.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Object Oriented Design-JK6LYUSGnWo.mkv_2.jpg 8.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019-3UGti9Ju5j8.mkv_3.jpg 8.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 13 – Contextual Word Embeddings-S-CspeZ8FHc.mkv_3.jpg 8.1 kB
Year 4/Semester 7/5. Robotics/Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009--fCLJ1pGht4.mkv_3.jpg 8.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 14 – Transformers and Self-Attention-5vcj8kSwBCY.mkv_3.jpg 8.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Re engineering-UXERB3xFgc4.mkv_2.jpg 8.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.1 The Chain Rule-oCu6t8XGuQo.mkv_3.jpg 8.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.2 The General Power Rule-aXx8VaG3zFo.mkv_3.jpg 8.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.3 Simplifying Derivatives-ulDOTjVG4V8.mkv_3.jpg 8.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.4 Trigonometric Functions and the Chain Rule-h5NLTIA76nU.mkv_3.jpg 8.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-b4Dl85FVSok.mkv_3.jpg 8.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 5-rLMikQTOVnI.mkv_2.jpg 8.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 2 - Linear Regression and Gradient Descent _ Stanford CS229 - Machine Learning (Autumn 2018)-4b4MUYve_U8.mkv_3.jpg 8.1 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control-j080VBVGkfQ.mkv_3.jpg 8.1 kB
Year 2/Semester 3/1. Probability/Probability density functions _ Probability and Statistics _ Khan Academy-Fvi9A_tEmXQ.mkv_3.jpg 8.1 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for Android (Coding TensorFlow)-JnhW5tQ_7Vo.mkv_2.jpg 8.1 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 State Machine Diagrams-_6TFVzBW7oo.mkv_0.jpg 8.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley)-uvE_HeNHTzI.mkv_2.jpg 8.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Criteria-bWHFY8-rL5I.mkv_0.jpg 8.1 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations-OyRzpScJuvE.mkv_3.jpg 8.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 20-TdTFYVjzs1I.mkv_2.jpg 8.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Programming R Squared - Practical Machine Learning Tutorial with Python p.11-QUyAFokOmow.mkv_0.jpg 8.1 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 5 - Finish Paint App-F-ha0F2yLqA.mkv_2.jpg 8.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Communication Management-0q-ZVshvypU.mkv_2.jpg 8.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Modularization-dah74-XZVXc.mkv_2.jpg 8.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/7. Constraints - Interpreting Line Drawings-l-tzjenXrvI.mkv_2.jpg 8.1 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/19. Relations Among Fourier Representations-HDYAbIA-DNY.mkv_3.jpg 8.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 3 Collisions-YIoZQwWJIDA.mkv_3.jpg 8.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 11 - Cache Consistency - Frangipani--pKNCjUhPjQ.mkv_2.jpg 8.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Biologically Inspired Neural Networks (IBM)-4lY-oAY0aQU.mkv_1.jpg 8.1 kB
Year 2/Semester 3/1. Probability/Dependent probability example _ Probability and Statistics _ Khan Academy-xPUm5SUVzTE.mkv_3.jpg 8.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/System Calls-lhToWeuWWfw.mkv_2.jpg 8.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics-9FtHB7V14Fo.mkv_3.jpg 8.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/7. Discrete Approximation of Continuous-Time Systems-pqkYqU11ETA.mkv_1.jpg 8.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Threading Issues [fork() & exec() System Calls]-o2Sf0GHWpmk.mkv_0.jpg 8.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 9 peek()-GIE2XiztuXg.mkv_3.jpg 8.0 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Deep Q Learning w_ DQN - Reinforcement Learning p.5-t3fbETsIBCY.mkv_0.jpg 8.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Storage Structure)-YcRd3WMbXnE.mkv_1.jpg 8.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Management (Processes and Threads)-OrM7nZcxXZU.mkv_1.jpg 8.0 kB
Year 3/Semester 5/4. Client-side development with React/Learn React JS - Full Course for Beginners - Tutorial 2019-DLX62G4lc44.mp4_3.jpg 8.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 4 - Primary-Backup Replication-M_teob23ZzY.mkv_3.jpg 8.0 kB
Year 2/Semester 3/1. Probability/Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy-obZzOq_wSCg.mkv_2.jpg 8.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Threading Issues (Thread Cancellation)-wNns0kIDC68.mkv_0.jpg 8.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 18 – Constituency Parsing, TreeRNNs-6Z4A3RSf-HY.mkv_3.jpg 8.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction-ljeQ1yNexIU.mkv_3.jpg 8.0 kB
Year 2/Semester 3/1. Probability/Expected value of binomial distribution _ Probability and Statistics _ Khan Academy-SqcxYnNlI3Y.mkv_3.jpg 8.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 4 Parameterized Types-DjJRWroA168.mkv_3.jpg 8.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs-QEw0qEa0E50.mkv_3.jpg 8.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35-8p6XaQSIFpY.mkv_0.jpg 8.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Heaps-eFCn6udv3gQ.mkv_2.jpg 8.0 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts--s7e_Fy6NRU.mkv_1.jpg 8.0 kB
Year 4/Semester 7/5. Robotics/Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009-CUygqWS7occ.mkv_3.jpg 8.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 8 - Zookeeper-pbmyrNjzdDk.mkv_2.jpg 8.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley)-XMcNhZZwlL4.mkv_2.jpg 8.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Black Box Testing-5KQQtXGBBiA.mkv_2.jpg 8.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-ibPL7T9iEwY.mkv_2.jpg 8.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Programming Style-9T7p-Sx7G-Y.mkv_2.jpg 8.0 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q-Learning Agent Analysis - Reinforcement Learning p.3-CBTbifYx6a8.mkv_0.jpg 8.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Configuration Management-nDp6uBFHfQU.mkv_2.jpg 8.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Documentation-LO9Hs09BbZQ.mkv_2.jpg 8.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 7 - Kernels _ Stanford CS229 - Machine Learning (Autumn 2018)-8NYoQiRANpg.mkv_3.jpg 8.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/9. Constraints - Visual Object Recognition-gvmfbePC2pc.mkv_2.jpg 8.0 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination-acOktTcTVEQ.mkv_2.jpg 8.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.1 Proof by Cases-dheuJkuSNyI.mkv_3.jpg 7.9 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate-F1sIkFyteqE.mkv_3.jpg 7.9 kB
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Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial-N5HgK1bTLOg.mkv_3.jpg 7.9 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/White Box Testing-qOKPHpXuEvY.mkv_2.jpg 7.9 kB
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Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/11. RNA Secondary Structure; Biological Functions and Predictions-kUN6rJ21Hno.mkv_2.jpg 7.9 kB
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Year 3/Semester 5/1. Databases (SQL)/Database Design Course - Learn how to design and plan a database for beginners-ztHopE5Wnpc.mkv_0.jpg 7.9 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Remote Procedure Calls (RPC)-QmhTjsOOrlw.mkv_0.jpg 7.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Termination-SFc3jt8t5rU.mkv_0.jpg 7.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16-n3RqsMz3-0A.mkv_0.jpg 7.9 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Algorithm and Agent - Reinforcement Learning p.2-Gq1Azv_B4-4.mkv_0.jpg 7.9 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server-Sa_kQheCnds.mkv_1.jpg 7.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18-3XPhmnf96s0.mkv_0.jpg 7.9 kB
Year 4/Semester 8/4. Self-Driving Cars/MIT Self-Driving Cars (2018)-_OCjqIgxwHw.mkv_0.jpg 7.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - First Come First Served (FCFS)-7DoP1L9nAAs.mkv_0.jpg 7.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.1 Continuity on Open Intervals-Niw3wBg6RPE.mkv_3.jpg 7.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 13-VuM1WnwEMRQ.mkv_2.jpg 7.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning-V7CY68zH6ps.mkv_3.jpg 7.8 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6-qfovbG84EBg.mkv_0.jpg 7.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt-NhidVhNHfeU.mkv_1.jpg 7.8 kB
Year 2/Semester 3/1. Probability/Conditional probability and combinations _ Probability and Statistics _ Khan Academy-xw6utjoyMi4.mkv_2.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36-j6jstahQp2A.mkv_0.jpg 7.8 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.2 Rules of Inference for Quantified Statements-zMtToQelLN8.mkv_3.jpg 7.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 18-kqt1YV9dEoE.mkv_2.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25-AbVtcUBlBok.mkv_0.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8-SvmueyhSkgQ.mkv_0.jpg 7.8 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Communication Diagrams-TL4ABTx_RtE.mkv_0.jpg 7.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Computer System Architecture-So9SR3qpWsM.mkv_1.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 14 - Expectation-Maximization Algorithms _ Stanford CS229 - Machine Learning (Autumn 2018)-rVfZHWTwXSA.mkv_3.jpg 7.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley)-COwyx_APxRE.mkv_2.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 11 - Introduction to Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-MfIjxPh6Pys.mkv_2.jpg 7.8 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for iOS (Coding TensorFlow)-0SBtAjUauOc.mkv_2.jpg 7.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration--mjWOV6Ye84.mkv_3.jpg 7.8 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Component Diagrams-KQUGFFN4M90.mkv_0.jpg 7.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/2. Overview of Clinical Care-DS97JV_o0Fs.mkv_3.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018)-jGwO_UgTS7I.mkv_3.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Means from Scratch - Practical Machine Learning Tutorial with Python p.38-HRoeYblYhkg.mkv_0.jpg 7.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/14. Fourier Representations-ufU6b7OHb8M.mkv_1.jpg 7.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known.-VywV9XcA9IE.mkv_3.jpg 7.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-IYMYI9AJpQs.mkv_3.jpg 7.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks-8CWyBNX6eDo.mkv_3.jpg 7.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities.-05JCQswK3hE.mkv_3.jpg 7.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Counting DNA Nucleotides-bqclD2nLmQ8.mkv_1.jpg 7.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations.-3eBIHdyGJLQ.mkv_1.jpg 7.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - GC Content, FASTA File Format, Data Processing.-mw4FSbDro0A.mkv_1.jpg 7.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Python Village-XEO9FzOPiOQ.mkv_1.jpg 7.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Transcription and Reverse Complement-G8-fNk9vlaY.mkv_1.jpg 7.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Generative Modeling _ MIT 6.S191-rZufA635dq4.mkv_1.jpg 7.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 10 Rehashing-7PuZOsxe-mo.mkv_3.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression Intro - Practical Machine Learning Tutorial with Python p.2-JcI5Vnw0b2c.mkv_0.jpg 7.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Big O Notations-V6mKVRU1evU.mkv_1.jpg 7.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.1 Determine Infinite Limits-w8QAIecvMnU.mkv_3.jpg 7.8 kB
Year 3/Semester 5/1. Databases (SQL)/SQL Tutorial - Full Database Course for Beginners-HXV3zeQKqGY.mkv_3.jpg 7.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset--tyBEsHSv7w.mkv_1.jpg 7.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/20. Human Genetics, SNPs, and Genome Wide Associate Studies-KYQ2dPW5nEU.mkv_1.jpg 7.8 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/15. Gene Regulatory Networks-So6MK_FcP4E.mkv_3.jpg 7.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Parameters - Practical Machine Learning Tutorial with Python p.33-93AjE1YY5II.mkv_0.jpg 7.8 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Q Learning Intro_Table - Reinforcement Learning p.1-yMk_XtIEzH8.mkv_0.jpg 7.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Quick Sort-mN5ib1XasSA.mkv_1.jpg 7.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Introduction to CPU Scheduling-EWkQl0n0w5M.mkv_0.jpg 7.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation-D6EzBdAbT2Q.mkv_3.jpg 7.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page-1PkNiYlkkjo.mkv_2.jpg 7.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Development Tools Setup.-81Eb_YXmV4g.mkv_1.jpg 7.7 kB
Year 4/Semester 7/5. Robotics/Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009-ja56bJ8ogUw.mkv_3.jpg 7.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/20. Applications of Fourier Transforms-tp_MdKz3fC8.mkv_2.jpg 7.7 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 9-KBVkri8k3Ao.mkv_3.jpg 7.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/9. Modeling and Discovery of Sequence Motifs-1EMonM7qAU8.mkv_0.jpg 7.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.1 Evaluating Limits Using Properties of Limits-2hwdlWPoaUE.mkv_3.jpg 7.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing-44-RJEdGjC4.mkv_3.jpg 7.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem-5MaW99om2v4.mkv_3.jpg 7.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 8 Remove-YeSPhuU-QtE.mkv_3.jpg 7.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley)-FXFmy6JWj1E.mkv_1.jpg 7.7 kB
Year 4/Semester 7/5. Robotics/Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009-QI09XKVW_8E.mkv_3.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3-ViO56ASqeks.mkv_2.jpg 7.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R2. Basic Search, Optimal Search-Tl_p5pgBsyM.mkv_1.jpg 7.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/22. Sampling and Quantization-bJvv5SckGeA.mkv_2.jpg 7.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.1 Represent Functions with the Geometric Power Series-JxZV7XLLFRg.mkv_3.jpg 7.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 4 - C++ Paint App-uzgU2XzhnHY.mkv_2.jpg 7.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Sequence Modeling with Neural Networks-CznICCPa63Q.mkv_0.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/R Squared Theory - Practical Machine Learning Tutorial with Python p.10--fgYp74SNtk.mkv_0.jpg 7.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Execution and Monitoring-dXYMZDaPkUE.mkv_3.jpg 7.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/3. Feedback, Poles, and Fundamental Modes-K3OFb7RlbVE.mkv_2.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22-VngCRWPrNNc.mkv_0.jpg 7.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.2 Change of Variables for Indefinite Integrals-UBh35F_4tnU.mkv_3.jpg 7.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Mac-SKV0npCFxFs.mkv_2.jpg 7.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/16. Learning - Support Vector Machines-_PwhiWxHK8o.mkv_2.jpg 7.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-U8K13P6loyk.mkv_2.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17-GWHG3cS2PKc.mkv_0.jpg 7.7 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 1-O12yTz_8EOw.mkv_2.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Deep Learning with Neural Networks and TensorFlow Introduction-oYbVFhK_olY.mkv_0.jpg 7.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java-195KUinjBpU.mkv_2.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9-KLGfMGsgP34.mkv_0.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5-QLVMqwpOLPk.mkv_0.jpg 7.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Introduction to Deep Learning-5v1JnYv_yWs.mkv_1.jpg 7.7 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 24-GAKpnKLnJtc.mkv_2.jpg 7.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/15. Fourier Series-N0CVIoVQkmc.mkv_3.jpg 7.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables-tj_98IO-lCk.mkv_3.jpg 7.7 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-JXtH_ABQFX0.mkv_3.jpg 7.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/User Operating System Interface-psDpbWscPuE.mkv_0.jpg 7.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 10 - Decision Trees and Ensemble Methods _ Stanford CS229 - Machine Learning (Autumn 2018)-wr9gUr-eWdA.mkv_2.jpg 7.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Stacks and Queues-JvGZh_BdF-8.mkv_1.jpg 7.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Practical Machine Learning Tutorial with Python Intro p.1-OGxgnH8y2NM.mkv_0.jpg 7.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Convolutional Neural Networks _ MIT 6.S191-iaSUYvmCekI.mkv_1.jpg 7.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 21-rfTt7k6Nv-I.mkv_2.jpg 7.6 kB
Year 2/Semester 3/1. Probability/Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy-W7DmsJKLoxc.mkv_2.jpg 7.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2-Ge65ukmJTzQ.mkv_2.jpg 7.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (I_O Structure)-F18RiREDkwE.mkv_0.jpg 7.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.3 Inverse Functions and Composition of Functions-aQefXelCN5Y.mkv_3.jpg 7.6 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 4-H0ZgOGWUcJw.mkv_3.jpg 7.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I-8LEuyYXGQjU.mkv_3.jpg 7.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/System Programs-UWDzhz8MVqc.mkv_1.jpg 7.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.3 - The Addition Rule for Probability-mmWxtSx03JI.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.1 The Fundamental Theorem of Calculus-3u-8LNMiHbA.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.2 The Mean Value Theorem for Integrals-NXXVUeW31Qg.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.3 The Average Value of a Function-PjSGp4XsY0E.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.4 The Second Fundamental Theorem of Calculus-HwBskK0WbJs.mkv_3.jpg 7.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals-XLbK4qxmuMk.mkv_3.jpg 7.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Sort Algorithm-JUOyKSZScW0.mkv_1.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.2 Determine Vertical Asymptotes-OtBj-vTtNME.mkv_3.jpg 7.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Simply Easy Learning Steps-1iJn6quPp50.mkv_2.jpg 7.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Round Robin Scheduling-YzBBJYfwdi8.mkv_0.jpg 7.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 6 removeFirst()-BlUFXfGzm0Y.mkv_3.jpg 7.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.3 The nth Term Test for Divergence-vhonH59Rxi8.mkv_3.jpg 7.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019-YygGzfkhtJc.mkv_3.jpg 7.6 kB
Year 3/Semester 6/4. Mobile applications - IOS development/Swift Programming Tutorial for Beginners (Full Tutorial)-Ulp1Kimblg0.mkv_0.jpg 7.6 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 3-vKNpQ_KTXvE.mkv_1.jpg 7.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation-dRIhrn8cc9w.mkv_3.jpg 7.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 19 – Bias in AI-XR8YSRcuVLE.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.2 Continuity on Closed Intervals-BDMzVx2LV-0.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.3 Properties of Continuity-niSjuhVjb6k.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.4 The Intermediate Value Theorem-Dyvle5Cgw3g.mkv_3.jpg 7.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/11. Learning - Identification Trees, Disorder-SXBG3RGr_Rc.mkv_2.jpg 7.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Recursion-neuDuf_i8Sg.mkv_1.jpg 7.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley)-5D6-Br8PgMQ.mkv_1.jpg 7.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling (Turnaround Time & Waiting Time)-7TpxxTNrcTg.mkv_0.jpg 7.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 2-QWVBu_GlUgI.mkv_1.jpg 7.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.3 Negating and Translating with Quantifiers-8eCZ1suibCw.mkv_3.jpg 7.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/5. Risk Stratification, Part 2-wqI_z1yumzY.mkv_3.jpg 7.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.1 A Preview of Calculus-8NIsIW5nf4Y.mkv_3.jpg 7.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Table-B4vqVDeERhI.mkv_1.jpg 7.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-isBEVkIjgGA.mkv_2.jpg 7.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R3. Games, Minimax, Alpha-Beta-hM2EAvMkhtk.mkv_2.jpg 7.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers-INja7C5_vqk.mkv_1.jpg 7.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile-CQ90L5jfldw.mkv_1.jpg 7.5 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-nH4rn3X8i0c.mkv_3.jpg 7.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/V Model-5jJ_PBX3XsE.mkv_2.jpg 7.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20-mA5nwGoRAOo.mkv_0.jpg 7.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41-P-iAd8b7zl4.mkv_0.jpg 7.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System-3NkxeDnLh4A.mkv_3.jpg 7.5 kB
Year 3/Semester 6/1. Non-relational Databases/An Introduction To NoSQL Databases-uD3p_rZPBUQ.mkv_2.jpg 7.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/4. Continuous-Time (CT) Systems-4PlHFcfB8DA.mkv_1.jpg 7.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley)-kXmKxtXEXyQ.mkv_2.jpg 7.5 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Deployment Diagrams-nTtQwGoUUNc.mkv_0.jpg 7.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 1 Introduction to sorts-H3FCoYQMKvI.mkv_3.jpg 7.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.3 Applications Involving the Area Between Two Curves-NksmQNMEZ3A.mkv_3.jpg 7.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/4. Comparative Genomic Analysis of Gene Regulation-14m9MW-qMhg.mkv_2.jpg 7.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39-3ERPpzrDkVg.mkv_0.jpg 7.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically-OzL5d2GBUWI.mkv_3.jpg 7.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.2 Find Limits Graphically and Numerically - When Limits Fail to Exist-54q-w2Gpz4o.mkv_3.jpg 7.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.3 Find Limits Graphically and Numerically - The Formal Definition of A Limit-QBxxKXDaRvc.mkv_3.jpg 7.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals-ZWYnYH-NnzY.mkv_3.jpg 7.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 10-Jsg9TwLRTbM.mkv_3.jpg 7.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/21. Automating Clinical Work Flows-Td01vFP3uJo.mkv_3.jpg 7.5 kB
Year 3/Semester 6/4. Mobile applications - IOS development/iOS Tutorial (2020) - How To Make Your First App-09TeUXjzpKs.mkv_1.jpg 7.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu-z0EknfZdlIs.mkv_3.jpg 7.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/20. Precision Medicine-kZrb6ZIwJqg.mkv_3.jpg 7.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 16-4A5LiJpPDRw.mkv_2.jpg 7.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion-Le8qzbDhunE.mkv_3.jpg 7.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 1 Introduction to complexity-IgeJmTKQlKs.mkv_3.jpg 7.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 8-aHW6HKVC-SY.mkv_2.jpg 7.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10-hWgGJeAvLws.mkv_0.jpg 7.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6-za5s7RB_VLw.mkv_0.jpg 7.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Optimization - Practical Machine Learning Tutorial with Python p.27-VhHLpg7ZS4Q.mkv_0.jpg 7.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/22. Causality, Natural Computing, and Engineering Genomes-uD4-fOWeXAY.mkv_0.jpg 7.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R6. Boosting-ZZmzMJB-tow.mkv_1.jpg 7.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture-FdVuKt_iuSI.mkv_1.jpg 7.5 kB
Year 4/Semester 7/5. Robotics/Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009-oWr1_LybOZI.mkv_3.jpg 7.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/fork() and exec() System Calls-IFEFVXvjiHY.mkv_0.jpg 7.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Levels-K7npUb4czqg.mkv_2.jpg 7.5 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Sequence Diagrams-cxG-qWthxt4.mkv_0.jpg 7.5 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019-lzBB7xoZ3Q8.mkv_3.jpg 7.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 3 - Templates-qDwdMDQ8oX4.mkv_2.jpg 7.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 8 remove and find-xo9_PkC5Ml0.mkv_2.jpg 7.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Control Block-4s2MKuVYKV8.mkv_1.jpg 7.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley)-Vq4kd_jlnGk.mkv_2.jpg 7.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math 1.2.1 - Translating Propositional Logic Statements-A2k3ulOJ3u4.mkv_3.jpg 7.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree 2-UcOxGmj45AA.mkv_1.jpg 7.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Machines-daDbY2iDmU0.mkv_1.jpg 7.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems 2-LswVAk59goM.mkv_0.jpg 7.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 7 - Fault Tolerance - Raft (2)-4r8Mz3MMivY.mkv_3.jpg 7.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32-XdcfJX-mDG4.mkv_0.jpg 7.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 16 – Coreference Resolution-i19m4GzBhfc.mkv_3.jpg 7.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/2. Discrete-Time (DT) Systems-Ih4s5IFphCw.mkv_0.jpg 7.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes-a48xeeo5Vnk.mkv_1.jpg 7.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley)-3hfL3ckFAfo.mkv_2.jpg 7.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Pseudo Code-Q6uewwnqRBk.mkv_2.jpg 7.4 kB
Year 2/Semester 3/1. Probability/Probability (part 6)-xf3vfczoCho.mkv_2.jpg 7.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Shell Sort-IlRyO9dXsYE.mkv_1.jpg 7.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Recurrent Neural Networks _ MIT 6.S191-SEnXr6v2ifU.mkv_1.jpg 7.4 kB
Year 4/Semester 8/2. Reinforcement Learning/2. Reinforcement Learning with Python/Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4-G92TF4xYQcU.mkv_0.jpg 7.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to Use a Custom Domain Name for Our Application-D2lwk1Ukgz0.mkv_1.jpg 7.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23-ZDu3LKv9gOI.mkv_0.jpg 7.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R5. Support Vector Machines-6nDqY8MPLDM.mkv_2.jpg 7.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Scheduling Algorithms - Shortest Job First (SJF)-t0g9b3SJECg.mkv_0.jpg 7.4 kB
Year 2/Semester 3/1. Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy-8TIben0bJpU.mkv_2.jpg 7.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Faster ML Development with TensorFlow-FkHWKq86tSw.mkv_0.jpg 7.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14-1i0zu9jHN6U.mkv_0.jpg 7.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28-yrnhziJk-z8.mkv_0.jpg 7.4 kB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.mp4_0.jpg 7.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/16. Protein Interaction Networks-RBPcKbEvK3U.mkv_1.jpg 7.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Reinforcement Learning _ MIT 6.S191-nZfaHIxDD5w.mkv_1.jpg 7.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/11. Continuous-Time (CT) Frequency Response and Bode Plot-2X7o37pfdp8.mkv_2.jpg 7.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Design-nzLvmyBgOfk.mkv_2.jpg 7.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/25. Audio CD-t2hNMFoIv8w.mkv_3.jpg 7.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tpQPN01i3GA.mkv_2.jpg 7.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Custom K Means - Practical Machine Learning Tutorial with Python p.37-H4JSN_99kig.mkv_0.jpg 7.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.3 Proof by Contradiction-b-kFWP9a2tw.mkv_3.jpg 7.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.4.1 The Direct Comparison Test-oobg9RMaGjo.mkv_3.jpg 7.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code-vPqQSKsxH4k.mkv_3.jpg 7.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Design & Implementation-t_McsJ1RGQg.mkv_0.jpg 7.4 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/CSS Crash Course For Absolute Beginners-yfoY53QXEnI.mkv_2.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Activity Diagrams-XFTAIj2N2Lc.mkv_0.jpg 7.3 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search-vDF1BYWhqL8.mkv_3.jpg 7.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers-l_yWLAQg7LU.mkv_0.jpg 7.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/14. Learning - Sparse Spaces, Phonology-L73hY1pBcQI.mkv_0.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Maintenance Overview-ZsSPBsl1Ld8.mkv_2.jpg 7.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads-kt3ZtW9MXhw.mkv_1.jpg 7.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.2 - Introduction to Probability-_EpXHuPnaK0.mkv_3.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/E-Type Software Evolution--dCJi82Euco.mkv_2.jpg 7.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 16 - Cache Consistency - Memcached at Facebook-Myp8z0ybdzM.mkv_3.jpg 7.3 kB
Year 2/Semester 3/1. Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy-mkyZ45KQYi4.mkv_3.jpg 7.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Convolutional Neural Networks-NVH8EYPHi30.mkv_0.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/CASE Tools-_74Nra8h5Go.mkv_2.jpg 7.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Scheduling-2h3eWaPx8SA.mkv_1.jpg 7.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4-HCBX2cuA5UU.mkv_3.jpg 7.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 3)-fViAyFLOYxU.mkv_0.jpg 7.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/13. Continuous-Time (CT) Feedback and Control, Part 2-gxgV_oOG7Zc.mkv_2.jpg 7.3 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tXIO8JNwCi0.mkv_2.jpg 7.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 3-SVsT7oG4ap8.mkv_1.jpg 7.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/9. Frequency Response-fKaZeD70p8I.mkv_0.jpg 7.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent-H6gIC1FF1b4.mkv_3.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Programming-qpUQpxpeixA.mkv_2.jpg 7.3 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019-7b2_3dDTKMc.mkv_3.jpg 7.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley)-eG_d-rGt-Z8.mkv_2.jpg 7.3 kB
Year 4/Semester 7/4. Computer Vision/OpenCV Course - Full Tutorial with Python-oXlwWbU8l2o.mkv_2.jpg 7.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/17. Discrete-Time (DT) Frequency Representations-gwa-Rh0u6bs.mkv_1.jpg 7.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-IUk9o9wvX1Y.mkv_1.jpg 7.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)-PdyARRNwi7I.mkv_0.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Tutorial-OkC7HKtiZC0.mkv_0.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2.0 Class Diagrams-3cmzqZzwNDM.mkv_0.jpg 7.3 kB
Year 2/Semester 4/3. Software Enginnering/2. UML 2.0 Tutorial/UML 2 Timing Diagrams-F3yROOhK8qk.mkv_0.jpg 7.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.2 Proof by Contraposition-vMwejR0bqwo.mkv_3.jpg 7.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities-IXvUn9iR2wA.mkv_3.jpg 7.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Types of System Calls-EavqupVh8ls.mkv_1.jpg 7.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12b - Deep Neural Nets-VrMHA3yX_QI.mkv_2.jpg 7.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Convolutional Neural Networks-H-HVZJ7kGI0.mkv_1.jpg 7.2 kB
Year 1/Semester 1/4. Introduction to Computer Science and Programming/Introduction to Programming and Computer Science - Full Course-zOjov-2OZ0E.mp4_1.jpg 7.2 kB
Year 4/Semester 7/5. Robotics/Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009-7LLUz7A1--Q.mkv_2.jpg 7.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Synchronization _ Chapter-6 _ Operating System-EOGyyyzmEGw.mkv_1.jpg 7.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 13 - Debugging ML Models and Error Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-ORrStCArmP4.mkv_2.jpg 7.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 22-HFqO_8Eoc1U.mkv_2.jpg 7.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 5 - Go, Threads, and Raft-UzzcUS2OHqo.mkv_1.jpg 7.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing CPU and GPU TensorFlow on Windows-r7-WPbx8VuY.mkv_0.jpg 7.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-M_VPUF9ResU.mkv_3.jpg 7.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 1 Introduction-uW8-HkmNq4Q.mkv_3.jpg 7.2 kB
Year 4/Semester 8/4. Self-Driving Cars/Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars-0fLSf3NO0-s.mkv_0.jpg 7.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 2)-S3mS8MR7bUY.mkv_0.jpg 7.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/12. Continuous-Time (CT) Feedback and Control, Part 1-5w2BvCPuYY0.mkv_2.jpg 7.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/5. Z Transform-iI-ejO9hczw.mkv_2.jpg 7.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 9 - More Replication, CRAQ-IXHzbCuADt0.mkv_1.jpg 7.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.1 Antiderivatives-HU5gEKXXeiU.mkv_3.jpg 7.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.2 Basic Integration Rules-8TcwW0mhdAY.mkv_3.jpg 7.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.3 Find Particular Solutions to Differential Equations-HSJqLLMLlyA.mkv_3.jpg 7.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Computer System Operation)-VjPgYcQqqN0.mkv_0.jpg 7.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 8 Open Addressing-yA8bDfWj0UU.mkv_3.jpg 7.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley)-hry_qqXLej8.mkv_1.jpg 7.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka-JMUxmLyrhSk.mkv_2.jpg 7.2 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Sockets in Operating System-uagKTbohimU.mkv_1.jpg 7.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 5 checking violations in the tree-pJWAi6u7Nq4.mkv_3.jpg 7.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode-NGGkOa35Sm8.mkv_3.jpg 7.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3-G-KvpNGudLw.mkv_3.jpg 7.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain)-ulLx2iPTIcs.mkv_0.jpg 7.2 kB
Year 2/Semester 3/1. Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy-AOsWph2FNLw.mkv_3.jpg 7.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 12 - Backprop & Improving Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-zUazLXZZA2U.mkv_3.jpg 7.2 kB
Year 4/Semester 7/4. Computer Vision/MIT 6.S094 - Computer Vision-CLOAswsxudo.mkv_1.jpg 7.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Risk Management-SA5F_GIXbok.mkv_2.jpg 7.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Solving Programming Problems-63BBWWsqsT0.mkv_0.jpg 7.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Preemptive and Non-Preemptive Scheduling-4DhFmL-6SDA.mkv_0.jpg 7.1 kB
Year 1/Semester 2/4. Computer System Architecture/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-5Oi7tvYE7fI.mkv_3.jpg 7.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules-eGGTtAWlGoQ.mkv_3.jpg 7.1 kB
Year 2/Semester 3/1. Probability/Permutations-XqQTXW7XfYA.mkv_3.jpg 7.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/25. Interpretability-wDLzLN1tArA.mkv_2.jpg 7.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1-gT4F3HGYXf4.mkv_3.jpg 7.1 kB
Year 2/Semester 3/1. Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy-xSc4oLA9e8o.mkv_2.jpg 7.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Overview of Software Engineering-ITlyBV4ttts.mkv_2.jpg 7.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System-3aVqWaLjqS4.mkv_1.jpg 7.1 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction-FgzM3zpZ55o.mkv_3.jpg 7.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Engineering-pi2nP3rXZ3k.mkv_2.jpg 7.1 kB
Year 2/Semester 3/1. Probability/Expected Value - E(X)-j__Kredt7vY.mkv_2.jpg 7.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24-bGCafQT5h1s.mkv_0.jpg 7.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Structures of Operating System-XXPBl20J22w.mkv_1.jpg 7.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.1 Riemann Sums-xeyfJ-WktOQ.mkv_3.jpg 7.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.2 Definite Integrals-YFEk1YI3lwk.mkv_3.jpg 7.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.3 Properties of Definite Integrals-ePTEdW4xj5o.mkv_3.jpg 7.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-gQvaT_AU0Gg.mkv_2.jpg 7.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals-zispJVm5Rdo.mkv_3.jpg 7.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running the Network - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.6-CPZ5ihaNfJc.mkv_1.jpg 7.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Euclidean Distance - Practical Machine Learning Tutorial with Python p.15-hl3bQySs8sM.mkv_0.jpg 7.1 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning-gOV8-bC1_KU.mkv_3.jpg 7.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2-RVt4EN-XdPA.mkv_3.jpg 7.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/23. Model Merging, Cross-Modal Coupling, Course Summary-XPEJg_6Cg6o.mkv_1.jpg 7.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Computer Vision Meets Social Networks-aFEnWHxUd7s.mkv_0.jpg 7.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Scheduling-SkQzQCAWf8M.mkv_2.jpg 7.1 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/10. Feedback and Control-TeVSxZgIHAA.mkv_3.jpg 7.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Memory _ Chapter-9 _ Operating System-rZIVS3eUDrw.mkv_2.jpg 7.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.1 Rules of Inference for Propositional Logic-oasIqX74Mhc.mkv_3.jpg 7.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-QKdiZSfwg-g.mkv_2.jpg 7.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Context Switch-vTgccrbYHYs.mkv_1.jpg 7.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-4_Z07m8tf6k.mkv_1.jpg 7.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running our Network - Deep Learning with Neural Networks and TensorFlow-PwAGxqrXSCs.mkv_0.jpg 7.0 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 17-PPCnYiTpbCo.mkv_2.jpg 7.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation-IdBSLvoP6uY.mkv_2.jpg 7.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Life Cycle-sARoc6GyCq8.mkv_2.jpg 7.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/First Come First Served Scheduling (Solved Problem 1)-VSMAjMfJ6KQ.mkv_0.jpg 7.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley)-KRenWKpfGo4.mkv_1.jpg 7.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/10. Markov and Hidden Markov Models of Genomic and Protein Features-d5NMrA2HkG4.mkv_2.jpg 7.0 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 3 - Qt Charts-MHn3ZTWcyXk.mkv_2.jpg 7.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Services-TQWERtMoKbI.mkv_1.jpg 7.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.1 Sigma Notation-9a96ChQreSs.mkv_3.jpg 7.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.2 The Concept of Area-AEW-9gw4Ocs.mkv_3.jpg 7.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.3 The Approximate Area of a Plane Region-y0ZmzMQnK6A.mkv_3.jpg 7.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.4 Finding Area By The Limit Definition-yLMDOV9EXWY.mkv_3.jpg 7.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/1. Signals and Systems--FHm2pQmiSM.mkv_1.jpg 7.0 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku-6DI_7Zja8Zc.mkv_1.jpg 7.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/17. Learning - Boosting-UHBmv7qCey4.mkv_0.jpg 7.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Creation-pSW9d3Oaie8.mkv_1.jpg 7.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Resource Management-u3Y71H98AZU.mkv_2.jpg 7.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 2 ComparableGenerics-HtahYOYb7zM.mkv_2.jpg 7.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 20 – Future of NLP + Deep Learning-3wWZBGN-iX8.mkv_3.jpg 7.0 kB
Year 4/Semester 7/5. Robotics/Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009--RRYZ-b9NpI.mkv_1.jpg 7.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13-44jq6ano5n0.mkv_0.jpg 7.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Neural Network Model - Deep Learning with Neural Networks and TensorFlow-BhpvH5DuVu8.mkv_0.jpg 7.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Clustering Introduction - Practical Machine Learning Tutorial with Python p.34-ZueoXMgCd1c.mkv_0.jpg 7.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31-JHaqodAQqiI.mkv_0.jpg 7.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/16. Fourier Transform-iWZNTM139xQ.mkv_0.jpg 7.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Machine Learning for Scent _ MIT 6.S191-Z5Pw5eWItiw.mkv_1.jpg 7.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/8. RNA-sequence Analysis - Expression, Isoforms-MniYgsZSp30.mkv_0.jpg 7.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/13. Predicting Protein Structure-j1s9JfZKFqU.mkv_0.jpg 7.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/6. Laplace Transform-MRy8xxvsZA4.mkv_1.jpg 7.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing-nC9_RfjYwqA.mkv_3.jpg 7.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 15 - EM Algorithm & Factor Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-tw6cmL5STuY.mkv_2.jpg 7.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning-mNqVGB2HkXg.mkv_0.jpg 7.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables-shrTfDUB9Hk.mkv_3.jpg 6.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Main Memory _ Chapter-8 _ Operating System-m7iXeDyFe4I.mkv_2.jpg 6.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley)-1ADOHPV8mN4.mkv_0.jpg 6.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Generative Modeling-yFBFl1cLYx8.mkv_1.jpg 6.9 kB
Year 4/Semester 8/4. Self-Driving Cars/Drago Anguelov (Waymo) - MIT Self-Driving Cars-Q0nGo2-y0xY.mkv_0.jpg 6.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Evolution Laws-zNroF_WeIB0.mkv_2.jpg 6.9 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/8. Convolution-w1Z2FX8rQc0.mkv_1.jpg 6.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/23. Fairness-zYgkr0KfWM0.mkv_3.jpg 6.9 kB
Year 3/Semester 5/2. Web Application Development/Python Django Web Framework - Full Course for Beginners-F5mRW0jo-U4.mkv_3.jpg 6.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review-o_i5F1zGPLs.mkv_3.jpg 6.9 kB
Year 2/Semester 3/1. Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy-gyqodNhM3EU.mkv_2.jpg 6.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/14. Causal Inference, Part 1-gRkUhg9Wb-I.mkv_2.jpg 6.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Why Kernels - Practical Machine Learning Tutorial with Python p.30-xqg5S-GrrDQ.mkv_0.jpg 6.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19-r_D5TTV9-2c.mkv_0.jpg 6.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shared Memory Systems-uHtzOFwgD74.mkv_0.jpg 6.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6-YFxVHD2TNII.mkv_0.jpg 6.9 kB
Year 4/Semester 8/4. Self-Driving Cars/Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars-LDprUza7yT4.mkv_1.jpg 6.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World-E3f2Camj0Is.mkv_3.jpg 6.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/6. Genome Assembly-ZYW2AeDE6wU.mkv_0.jpg 6.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191-8Kn4Gi8iSYQ.mkv_1.jpg 6.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/17. Reinforcement Learning, Part 2-zdotUAxiPGM.mkv_2.jpg 6.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.1 The Natural Exponential Function-Z7tgZdizM7M.mkv_2.jpg 6.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.2 Derivatives of the Natural Exponential Function-g3e04zUBHWU.mkv_2.jpg 6.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.3 Integrals of the Natural Exponential Function-z740Ovp-3xA.mkv_2.jpg 6.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions-0ZioAyD2CO0.mkv_2.jpg 6.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/12. Introduction to Protein Structure; Structure Comparison and Classification-6ROBp57G2ZI.mkv_0.jpg 6.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Message Passing Systems (Part 1)-LuuSXWkDJOo.mkv_0.jpg 6.9 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Introduction to Deep Learning-JN6H4rQvwgY.mkv_0.jpg 6.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley)-LsRXYEc-yDM.mkv_2.jpg 6.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/9. Translating Technology Into the Clinic-ZQu2B3GyI_k.mkv_3.jpg 6.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation-buptHUzDKcE.mkv_3.jpg 6.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/16. Reinforcement Learning, Part 1-YZ5pOgY5hEE.mkv_3.jpg 6.9 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019-C5bdflsg7rs.mkv_3.jpg 6.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations-OUQmx7GQwmY.mkv_3.jpg 6.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/SVM Training - Practical Machine Learning Tutorial with Python p.26-QAs2olt7pJ4.mkv_0.jpg 6.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13-mynJtLhhcXk.mkv_0.jpg 6.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.1 Integrate Inverse Trigonometric Functions-ofTzdKxMcOg.mkv_2.jpg 6.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.2 Integrate Using the Completing the Square Technique-YItr1wnGcAg.mkv_2.jpg 6.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 4 recursive add for an AVL tree-vYkgmdzhBoI.mkv_3.jpg 6.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40-TO8I-nggpzs.mkv_0.jpg 6.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/RNN Example in Tensorflow - Deep Learning with Neural Networks 11-dFARw8Pm0Gk.mkv_0.jpg 6.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 19 - C++ Regular Expressions-9K4N6MO_R1Y.mkv_2.jpg 6.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Interprocess Communication-dJuYKfR8vec.mkv_1.jpg 6.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 6 recursive add-eg7wGS9ySYs.mkv_2.jpg 6.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.1 Properties of the Natural Logarithmic Function-WhN2Ps2ggQw.mkv_2.jpg 6.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.2 The Number e-N7Z-k6E47KY.mkv_2.jpg 6.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.3 The Derivative of the Natural Logarithmic Function-ZWnFz0dQVmc.mkv_2.jpg 6.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.1 Indeterminate Forms-sGGFLgaZLns.mkv_2.jpg 6.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.2 L’Hôpital’s Rule-7tgJB7aw-kg.mkv_2.jpg 6.8 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.2 Translating with Nested Quantifiers-8ws-MMeDOSE.mkv_3.jpg 6.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 16 - C++ Threads-IdwJdJw65tU.mkv_2.jpg 6.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 20 - C++ Regex 2-NPccLyAHD6Y.mkv_2.jpg 6.8 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu-Z1jsJKAlWjw.mkv_1.jpg 6.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Barack Obama - Intro to Deep Learning _ MIT 6.S191-l82PxsKHxYc.mkv_1.jpg 6.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning-zPU1SRHuAW8.mkv_3.jpg 6.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 3 Some examples of big-Oh notation-66ovUEE0bQI.mkv_2.jpg 6.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-WQL2yMciD2M.mkv_2.jpg 6.8 kB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.mp4_2.jpg 6.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 18 - Associative Containers & Container Adapters-IaTzi_bsuJU.mkv_2.jpg 6.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 1)-Z2KsfhEJOFA.mkv_0.jpg 6.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12a - Neural Nets-uXt8qF2Zzfo.mkv_2.jpg 6.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4-27FPv1VHSsQ.mkv_2.jpg 6.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley)-UzmUAA8qFaM.mkv_1.jpg 6.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/5. Search - Optimal, Branch and Bound, A-gGQ-vAmdAOI.mkv_0.jpg 6.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 3 Traversal-F2SksNIg0os.mkv_3.jpg 6.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Visualizing - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.3-MqcZYw8Tgpc.mkv_1.jpg 6.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 13 - Advanced Functions-TGOXttOoI0U.mkv_2.jpg 6.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley)-uVKyubtOWr0.mkv_2.jpg 6.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration-q4jPR-M0TAQ.mkv_1.jpg 6.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine-3ibCta5SH7Q.mkv_3.jpg 6.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions-yFPwq0jlGt4.mkv_2.jpg 6.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/HIPO Diagram-eqtnhKcYoHk.mkv_1.jpg 6.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neural Rendering _ MIT 6.S191-BCZ56MU-KhQ.mkv_0.jpg 6.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12-7Wq-QmMT4gM.mkv_0.jpg 6.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Kernels Introduction - Practical Machine Learning Tutorial with Python p.29-9IfT8KXX_9c.mkv_0.jpg 6.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-2RhGMpY18zw.mkv_2.jpg 6.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.1 Inverse Trigonometric Functions-uLP9F1-05Kw.mkv_2.jpg 6.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions-g2jx2vAAie0.mkv_2.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Intro-3joOQ3A3KBQ.mkv_1.jpg 6.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/19. Disease Progression Modeling and Subtyping, Part 2-aJqgO8e37_g.mkv_2.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 10 - Object Oriented Programming-ZOKLjJF54Xc.mkv_2.jpg 6.7 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu-y94DjKHPYVk.mkv_2.jpg 6.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Project Management-FCn0xVZQx3w.mkv_2.jpg 6.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Feedback-Queue Scheduling Algorithm-1KLuC0knvs8.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics Tips & Tricks - Hamming Distance-QklZXyR7Q6M.mkv_1.jpg 6.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals-rAxXcX_w5fE.mkv_2.jpg 6.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Algorithms-f5OD9CKrZEw.mkv_1.jpg 6.7 kB
Year 2/Semester 3/1. Probability/Probability (part 5)-2XToWi9j0Tk.mkv_0.jpg 6.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer-RBSGKlAvoiM.mkv_0.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 14 - Templates & Iterators-ywNZAebgEZw.mkv_2.jpg 6.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 7 removeLast()-VGlcF3VQ-Pg.mkv_2.jpg 6.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Image Domain Transfer (NVIDIA)-_MzaThb_jno.mkv_0.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 12 - Operator Overloading & File I_O-gc7Eqba1c5g.mkv_2.jpg 6.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.3 Use The Power Series for Elementary Functions-IuHV7eAPdUg.mkv_3.jpg 6.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.1 Exponential Functions with Bases Other than e-nEQ7bWzMUn8.mkv_2.jpg 6.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.2 Differentiate and Integrate with Bases Other than e-ZWZkVPQFZ9Y.mkv_2.jpg 6.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.3 Applications of Bases Other than e-XacAqmeVBuI.mkv_2.jpg 6.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Entity Relationship Model-p7GsjrXoW28.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/5. Library Complexity and Short Read Alignment (Mapping)-P3ORBMon8aw.mkv_0.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 15 - Smart Pointers & Polymorphic Templates-q_LUYLV3l44.mkv_2.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/2. Local Alignment (BLAST) and Statistics-6Udqou3vmng.mkv_1.jpg 6.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TensorFlow Basics - Deep Learning with Neural Networks p. 2-pnSBZ6TEVjY.mkv_0.jpg 6.7 kB
Year 4/Semester 7/5. Robotics/Lecture 10 _ MIT 6.832 Underactuated Robotics, Spring 2009-xwgIkdBQku4.mkv_3.jpg 6.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.1 The Log Rule for Integration-OPb0EuFmBOU.mkv_2.jpg 6.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.2 Integrals of Trigonometric Functions-GYl2waBxN1g.mkv_2.jpg 6.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Recurrent Neural Networks-_h66BW-xNgk.mkv_0.jpg 6.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Biologically Inspired Neural Networks (IBM)-4lY-oAY0aQU.mkv_0.jpg 6.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile-CQ90L5jfldw.mkv_0.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 2 - C++ Calculator-txGRU7OrTZo.mkv_1.jpg 6.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 6 Make an integer positive-1JZMb3D75PY.mkv_3.jpg 6.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley)-MMB2wVyI_LI.mkv_2.jpg 6.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/8. Natural Language Processing (NLP), Part 2-lkO2ocJBsmI.mkv_2.jpg 6.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/19. Architectures - GPS, SOAR, Subsumption, Society of Mind-PimSbFGrwXM.mkv_2.jpg 6.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software User Interface Design-Ky_80dA7mD0.mkv_2.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/14. Predicting Protein Interactions-C95294_vvQY.mkv_1.jpg 6.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Queue Scheduling Algorithm-fvkSXMZaBNY.mkv_1.jpg 6.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.2 Operations with The Geometric Power Series-dok7tLtNFn8.mkv_3.jpg 6.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Reinforcement Learning-s5qqjyGiBdc.mkv_0.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides.-Wkx0fI4e0fs.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement.-h1aP9HCFu6Y.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation.-7k9nCLrHipQ.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage.-J72gVimVadQ.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 5 - Open Reading Frames.-8xDdJl9dYHg.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame.-Vi9wv6b3deU.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database.-mJDe5QG2L9k.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class.-7HdmQ4AYjZw.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class.-pU9gd1TGUmQ.mkv_1.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions.-Q-ZJ3NYSMEk.mkv_1.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 21 - C++ Regex 3-tsR2rNTX3D0.mkv_2.jpg 6.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree-M6lYob8STMI.mkv_1.jpg 6.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R1. Rule-Based Systems-iusTmgQyZ44.mkv_0.jpg 6.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion-0TyAhELFA90.mkv_3.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 17 - Sequence Containers-KJWOm1bXUxM.mkv_2.jpg 6.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7-6rDWwL6irG0.mkv_0.jpg 6.7 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Understanding Vectors - Practical Machine Learning Tutorial with Python p.21-HHUqhVzctQE.mkv_0.jpg 6.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 17 resize-AA0KuKV3ARU.mkv_2.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 11 - Polymorphism-k7O7AGfDI2c.mkv_2.jpg 6.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/18. Disease Progression Modeling and Subtyping, Part 1-yYWyLZrdRRI.mkv_2.jpg 6.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/CPU and I_O Burst Cycles-pVzb3TUcDLo.mkv_0.jpg 6.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/1. Introduction to Computational and Systems Biology-lJzybEXmIj0.mkv_1.jpg 6.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 6 - Solving Problems-VPT9jXt3GC0.mkv_2.jpg 6.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Reinforcement Learning-i6Mi2_QM3rA.mkv_1.jpg 6.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Charts-vdUO-sGA1DA.mkv_2.jpg 6.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5-_DAeMDMHgtY.mkv_1.jpg 6.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses-kEMJRjEdNzM.mkv_2.jpg 6.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.3 Summations and Sigma Notation-w9zIex42wnY.mkv_3.jpg 6.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 1 ObjectOrientedProgramming-Bc3UUHocxt0.mkv_2.jpg 6.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Install C++ & NetBeans-DamuE8TM3xo.mkv_2.jpg 6.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/18. Analysis of Chromatin Structure-iKLvCuFD1MA.mkv_0.jpg 6.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset--tyBEsHSv7w.mkv_0.jpg 6.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 9 - Lambda Expressions-482weZjwVHY.mkv_2.jpg 6.6 kB
Year 4/Semester 8/4. Self-Driving Cars/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars-HKBhP9JISF0.mkv_1.jpg 6.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions-2mIERXU7wWY.mkv_2.jpg 6.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.2 Proofs of Existence And Uniqueness-uNbt-ABKpj4.mkv_3.jpg 6.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 6 The Rotate method-IuG3WSaDumc.mkv_3.jpg 6.6 kB
Year 4/Semester 7/5. Robotics/Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009-89GQHKOeUcU.mkv_2.jpg 6.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 3 - Pointers & Functions-7pLldfZunJI.mkv_2.jpg 6.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees and heaps 1 Introduction-lhTCSGRAlXI.mkv_3.jpg 6.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started-UmljXZIypDc.mkv_1.jpg 6.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/17. Logic Modeling of Cell Signaling Networks-i59JDQ9hk10.mkv_0.jpg 6.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations-SEh3yhEFK1w.mkv_3.jpg 6.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.1 Verify Functions are Inverses of One Another-_wsnbo-DBUw.mkv_2.jpg 6.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.2 Determine Whether a Function Has An Inverse-xJUT0ckjWS0.mkv_2.jpg 6.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.3 Find the Inverse of a Function-jOElzjxX9DI.mkv_2.jpg 6.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.4 Find the Derivative of an Inverse of a Function-DDGoJaC1psg.mkv_2.jpg 6.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops-tT8ICXAO_-4.mkv_2.jpg 6.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 5 - Strings & Math-xxMG5HwCK6w.mkv_2.jpg 6.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/12. Machine Learning for Pathology-PKCMH5KOcxQ.mkv_2.jpg 6.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Big Bang Model-uij0JPt4YzI.mkv_2.jpg 6.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae-ZJeBDVMbhJE.mkv_2.jpg 6.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-jDHx2K9HxlM.mkv_2.jpg 6.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using More Data - Deep Learning with Neural Networks and TensorFlow part 8-JeamFbHhmDo.mkv_0.jpg 6.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191-4PuuziOgSU4.mkv_1.jpg 6.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 2 Complete and Full-Lta807sEOQY.mkv_3.jpg 6.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT Introduction to Deep Learning _ 6.S191-njKP3FqW3Sk.mkv_1.jpg 6.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.4.1 First Order Linear Differential Equations--N0cJkC64-E.mkv_3.jpg 6.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 4 - Exception Handling & Looping-HD72quXVuE4.mkv_2.jpg 6.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts--s7e_Fy6NRU.mkv_0.jpg 6.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-93CVEOXM3T4.mkv_1.jpg 6.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu-2Sa55D_Ve4U.mkv_2.jpg 6.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 4 Insertion Sort Code-3U2vTqaL7uE.mkv_3.jpg 6.6 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server-Sa_kQheCnds.mkv_0.jpg 6.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-CkOPbj5KhP8.mkv_2.jpg 6.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 3-SVsT7oG4ap8.mkv_0.jpg 6.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2-KlffppN47lc.mkv_1.jpg 6.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-oGwvMk5re3Y.mkv_3.jpg 6.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/18. Discrete-Time (DT) Fourier Representations-3D51nqZ-97Q.mkv_3.jpg 6.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5-7fcWfUavO7E.mkv_0.jpg 6.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial - C++ Notepad App-I96uPDifZ1w.mkv_1.jpg 6.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt-NhidVhNHfeU.mkv_0.jpg 6.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Learning New Frontiers _ MIT 6.S191-tfM_DdbGTLs.mkv_0.jpg 6.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/4. Risk Stratification, Part 1-_shuV1tJbTU.mkv_1.jpg 6.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14-NMd7WjZiCzc.mkv_0.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling - Solved Problem (Part 2)-wioTortHb_g.mkv_0.jpg 6.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing the GPU version of TensorFlow for making use of your CUDA GPU-io6Ajf5XkaM.mkv_0.jpg 6.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 7 - Solving Problems-EKKOi4E7pm0.mkv_2.jpg 6.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.2 Finding Volume Using the Washer Method-gg3A4oJILLA.mkv_3.jpg 6.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 19-R9mT5CtdHLg.mkv_1.jpg 6.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 16 - Independent Component Analysis & RL _ Stanford CS229 - Machine Learning (Autumn 2018)-YQA9lLdLig8.mkv_2.jpg 6.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 14 - Optimistic Concurrency Control-Cw6Nj2evjSs.mkv_3.jpg 6.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java 2-iR5wyCaIayk.mkv_1.jpg 6.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.1 Prime Numbers and Their Properties-uuoxgAAikH4.mkv_3.jpg 6.5 kB
Year 2/Semester 3/1. Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy-Jkr4FSrNEVY.mkv_2.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley)-EtkggozKpGQ.mkv_2.jpg 6.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Documentation-ApqnZIWPw7s.mkv_1.jpg 6.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/7. Discrete Approximation of Continuous-Time Systems-pqkYqU11ETA.mkv_0.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Structure-fvN98a_7AT4.mkv_0.jpg 6.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 3 Insertion Sort-eTvQIbB-AuE.mkv_3.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Deadlocks _ Chapter-7 _ Operating System-KrbjE6IRrM4.mkv_2.jpg 6.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.4 Summation Properties and Formulas-Zi2sLtCO44A.mkv_3.jpg 6.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-AXf_C5qOm8o.mkv_1.jpg 6.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/15. Learning - Near Misses, Felicity Conditions-sh3EPjhhd40.mkv_1.jpg 6.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Brings Simply Easy Learning-lezQQ0d1pxc.mkv_1.jpg 6.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 3 - GFS-EpIgvowZr00.mkv_2.jpg 6.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations-aHC3uTkT9r8.mkv_1.jpg 6.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal-tvsArHvVRPw.mkv_2.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process State-jZ_6PXoaoxo.mkv_1.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multithreading Models & Hyperthreading-HW2Wcx-ktsc.mkv_0.jpg 6.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/1. What Makes Healthcare Unique-vof7x8r_ZUA.mkv_3.jpg 6.5 kB
Year 2/Semester 3/1. Probability/Frequency stability property short film _ Computer Science _ Khan Academy-vVXbgbMp0oY.mkv_2.jpg 6.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Windows-kI5x9TEz3qk.mkv_1.jpg 6.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 15-U7158Q-2rJc.mkv_2.jpg 6.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/21. Synthetic Biology - From Parts to Modules to Therapeutic Systems-kKyrR0cFrEg.mkv_0.jpg 6.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 15 add() and remove() methods-wyxej4siMyI.mkv_3.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley)-h1Ygos9lDfE.mkv_2.jpg 6.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 6-gxp_FrgTkQI.mkv_2.jpg 6.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Computer System Architecture-So9SR3qpWsM.mkv_0.jpg 6.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL 1 Introduction--9sHvAnLN_w.mkv_3.jpg 6.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2018) - Deep Generative Modeling-JVb54xhEw6Y.mkv_0.jpg 6.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 2 Selection Sort-fgYlVyrt1vE.mkv_3.jpg 6.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 4 - Perceptron & Generalized Linear Model _ Stanford CS229 - Machine Learning (Autumn 2018)-iZTeva0WSTQ.mkv_2.jpg 6.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Round Robin Scheduling - Solved Problem (Part 1)-QlCmgBOMjlI.mkv_0.jpg 6.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II-jJ7JbQBTChM.mkv_2.jpg 6.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Engineering Process-Z9mKgHbfPpE.mkv_1.jpg 6.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Development Tools Setup.-81Eb_YXmV4g.mkv_0.jpg 6.4 kB
Year 2/Semester 3/1. Probability/Dependent probability example 2 _ Probability and Statistics _ Khan Academy-7BkcNLOf56w.mkv_1.jpg 6.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 12 Sort Summary-tgVitpkdkUo.mkv_1.jpg 6.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.4 Algorithms for Integer Operations-u1lbOzWb6X4.mkv_3.jpg 6.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.3 Related Rates - Modeling with Triangles-0Pm0vSLJOq0.mkv_3.jpg 6.4 kB
Year 2/Semester 3/1. Probability/Exactly three heads in five flips _ Probability and Statistics _ Khan Academy-udG9KhNMKJw.mkv_2.jpg 6.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Priority Scheduling (Solved Problem 2)-gHKSmz-W0x0.mkv_0.jpg 6.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Functional Programming-tKxSKN9yWDA.mkv_1.jpg 6.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Oriented Design-63dQN4yN9eY.mkv_1.jpg 6.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 9 - Approx_Estimation Error & ERM _ Stanford CS229 - Machine Learning (Autumn 2018)-iVOxMcumR4A.mkv_2.jpg 6.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-MB_mzk4dACo.mkv_1.jpg 6.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes-a48xeeo5Vnk.mkv_0.jpg 6.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shortest Job First Scheduling (Solved Problem 2)-ypOnf9mnFYg.mkv_0.jpg 6.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/19. Relations Among Fourier Representations-HDYAbIA-DNY.mkv_2.jpg 6.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/14. Fourier Representations-ufU6b7OHb8M.mkv_0.jpg 6.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set-4-FysvtxQEU.mkv_2.jpg 6.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Basics of OS (Storage Structure)-YcRd3WMbXnE.mkv_0.jpg 6.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Heaps-eFCn6udv3gQ.mkv_1.jpg 6.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4-lqhMTkouBx0.mkv_1.jpg 6.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-P-mXr9adbCc.mkv_2.jpg 6.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Manual Vs Automated Testing-3J4-aCF37z0.mkv_1.jpg 6.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Golden Rules-gxQmn3_JMZ0.mkv_1.jpg 6.4 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture-FdVuKt_iuSI.mkv_0.jpg 6.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.2 Models of Exponential Growth and Decay-x-FAnx9-W8g.mkv_3.jpg 6.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Sort Algorithm-JUOyKSZScW0.mkv_0.jpg 6.4 kB
Year 2/Semester 3/1. Probability/Poisson process 1 _ Probability and Statistics _ Khan Academy-3z-M6sbGIZ0.mkv_2.jpg 6.4 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 1 - Introduction-cQP8WApzIQQ.mkv_3.jpg 6.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 2 Nodes and Size-Dfu7PeZ3v2Q.mkv_2.jpg 6.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/15. Fourier Series-N0CVIoVQkmc.mkv_2.jpg 6.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1-CvspEt8kSIg.mkv_0.jpg 6.4 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Deep Generative Modeling _ MIT 6.S191-rZufA635dq4.mkv_0.jpg 6.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 10 Rotations-NczBLeco6XA.mkv_3.jpg 6.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R7. Near Misses, Arch Learning-J-ocRQCjcwE.mkv_1.jpg 6.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cost of Maintenance-Tq2p3eegguI.mkv_1.jpg 6.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/19. Discovering Quantitative Trait Loci (QTLs)-kx_Hks_-SZM.mkv_0.jpg 6.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-X6DZchnMYcw.mkv_2.jpg 6.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 12 Review of the hash element inner class-NVqY9oDz7RU.mkv_3.jpg 6.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page-1PkNiYlkkjo.mkv_1.jpg 6.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 18 - Continous State MDP & Model Simulation _ Stanford CS229 - Machine Learning (Autumn 2018)-QFu5nuc-S0s.mkv_2.jpg 6.3 kB
Year 4/Semester 7/5. Robotics/Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009-Gho0bmTsnA4.mkv_2.jpg 6.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/k-mer algorithms - Compare and Swap-8XJ8r_n7POY.mkv_1.jpg 6.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley)-r_SpMPgK2X0.mkv_1.jpg 6.3 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 12-2Gl-yNso0_0.mkv_2.jpg 6.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination-acOktTcTVEQ.mkv_1.jpg 6.3 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 2-FI8xtVaI068.mkv_2.jpg 6.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/24. Modulation, Part 2-OfMhtibbVXU.mkv_2.jpg 6.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/7. ChIP-seq Analysis; DNA-protein Interactions-Ob9xGBPvr_s.mkv_1.jpg 6.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere)-uxieCe3otPM.mkv_3.jpg 6.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Shortest Job First Scheduling (Solved Problem 1)-lpM14aWgl3Q.mkv_0.jpg 6.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley)-DRGr3tFtHiQ.mkv_2.jpg 6.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.1 Revisiting Recursive Definitions-j-7BQ6V5ZPo.mkv_3.jpg 6.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/6. Search - Games, Minimax, and Alpha-Beta-STjW3eH0Cik.mkv_1.jpg 6.3 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 25-M42rQM0vC4g.mkv_2.jpg 6.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Command Line Interface (CLI)-4aEETgIA_Wo.mkv_1.jpg 6.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/1. Introduction and Scope-TjZBTDzGeGg.mkv_1.jpg 6.3 kB
Year 2/Semester 3/1. Probability/Law of large numbers _ Probability and Statistics _ Khan Academy-VpuN8vCQ--M.mkv_2.jpg 6.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score--Lj6SvaVGr4.mkv_2.jpg 6.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs-iWea12EAu6U.mkv_2.jpg 6.3 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III-Hg_uyWezMM0.mkv_3.jpg 6.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Engineering Basics-4b1D1QFEel0.mkv_2.jpg 6.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Counting DNA Nucleotides-bqclD2nLmQ8.mkv_0.jpg 6.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations.-3eBIHdyGJLQ.mkv_0.jpg 6.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - GC Content, FASTA File Format, Data Processing.-mw4FSbDro0A.mkv_0.jpg 6.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Python Village-XEO9FzOPiOQ.mkv_0.jpg 6.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Rosalind Problems - Transcription and Reverse Complement-G8-fNk9vlaY.mkv_0.jpg 6.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 18 - Fork Consistency, Certificate Transparency-UKdLJ7-0iFM.mkv_2.jpg 6.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/First Come First Served Scheduling (Solved Problem 2)-8-BUGte27sk.mkv_0.jpg 6.3 kB
Year 4/Semester 7/5. Robotics/Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009-Bhbk4bWV1Uc.mkv_2.jpg 6.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors-8rXD5-xhemo.mkv_2.jpg 6.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java-195KUinjBpU.mkv_1.jpg 6.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Spiral Model-z8CqlcPjmGE.mkv_2.jpg 6.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Management (Processes and Threads)-OrM7nZcxXZU.mkv_0.jpg 6.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Manager-kXuzVl1Eo-E.mkv_2.jpg 6.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Approaches-Urphtihj-Bg.mkv_1.jpg 6.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley)-DaOLlnOV0s0.mkv_2.jpg 6.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Tables 2-QWVBu_GlUgI.mkv_0.jpg 6.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/4. Continuous-Time (CT) Systems-4PlHFcfB8DA.mkv_0.jpg 6.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 3 TrickleUp-6i15PI_VP-E.mkv_2.jpg 6.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 3 Boundary Conditions-rxpUg4M_jWo.mkv_3.jpg 6.3 kB
Year 3/Semester 6/4. Mobile applications - IOS development/iOS Tutorial (2020) - How To Make Your First App-09TeUXjzpKs.mkv_0.jpg 6.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/4. Search - Depth-First, Hill Climbing, Beam-j1H3jAAGlEA.mkv_1.jpg 6.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 7 left rotate-fpESZSHrsp0.mkv_2.jpg 6.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cyclomatic Complexity Measures-ihkUVzUzztY.mkv_1.jpg 6.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Levels-dBnbaB80aZo.mkv_1.jpg 6.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 4-edOWKZE1t84.mkv_2.jpg 6.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution.-w__TNyXH_xA.mkv_2.jpg 6.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 7 Contains-TNsfoKv8xvA.mkv_3.jpg 6.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution-4Ew60JEPGUk.mkv_2.jpg 6.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 2 Big Oh Notation-vsgrJrphEHo.mkv_3.jpg 6.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 1-0JUN9aDxVmI.mkv_1.jpg 6.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/10. Introduction to Learning, Nearest Neighbors-09mb78oiPkA.mkv_1.jpg 6.2 kB
Year 3/Semester 6/1. Non-relational Databases/MongoDB In 30 Minutes-pWbMrx5rVBE.mkv_2.jpg 6.2 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19)-s65BigoMV_I.mkv_1.jpg 6.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 7-LbX51mey3vo.mkv_2.jpg 6.2 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 3-vKNpQ_KTXvE.mkv_0.jpg 6.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.1 Nested Quantifiers and Negations-Jth7m3j8uGA.mkv_3.jpg 6.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Types of Maintenance-nA4ev7jM6ek.mkv_1.jpg 6.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement-z6dtF1eJ3m4.mkv_2.jpg 6.2 kB
Year 2/Semester 3/1. Probability/Probability (part 2)-6E_NVnboMB8.mkv_1.jpg 6.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Quality Attributes-TT_rUCMTmhg.mkv_1.jpg 6.2 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/HTML Crash Course For Absolute Beginners-UB1O30fR-EE.mkv_1.jpg 6.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 11 the hash class-fJfzmZ6eKjY.mkv_3.jpg 6.2 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/20. Human Genetics, SNPs, and Genome Wide Associate Studies-KYQ2dPW5nEU.mkv_0.jpg 6.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Characteristics of Good Software-ehuYDUUuRio.mkv_2.jpg 6.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 10 - Cloud Replicated DB, Aurora-jJSh54J1s5o.mkv_2.jpg 6.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 3 Adding a node-uTLiAbHH8xI.mkv_3.jpg 6.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 19 - Reward Model & Linear Dynamical System _ Stanford CS229 - Machine Learning (Autumn 2018)-0rt2CsEQv6U.mkv_2.jpg 6.2 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 3 - Templates-qDwdMDQ8oX4.mkv_1.jpg 6.2 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 1-O12yTz_8EOw.mkv_1.jpg 6.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019-tZ_Jrc_nRJY.mkv_3.jpg 6.2 kB
Year 2/Semester 3/1. Probability/Probability (part 7)-BLcgeLALLnc.mkv_2.jpg 6.2 kB
Year 4/Semester 7/5. Robotics/Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009-KNRMz9YPCOY.mkv_2.jpg 6.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro - Training a neural network to play a game with TensorFlow and Open AI-3zeg7H6cAJw.mkv_3.jpg 6.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.1 Finding Volume Using the Shell Method-X8lAi5ze8Z8.mkv_3.jpg 6.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.1 Finding Volume Using the Disk Method-mKcQS5zoqDc.mkv_3.jpg 6.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/23. Modulation, Part 1-OT04cEdpK-M.mkv_2.jpg 6.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management Activities-eOTcPOvT-H4.mkv_2.jpg 6.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/7. Natural Language Processing (NLP), Part 1-IiD3YZkkCmE.mkv_2.jpg 6.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 11 Coding Rotations-Y-nmgO8ALjM.mkv_2.jpg 6.2 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II-E-_ecpD5PkE.mkv_3.jpg 6.2 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers-INja7C5_vqk.mkv_0.jpg 6.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.2 Quantifiers-DpcUJrYTduc.mkv_3.jpg 6.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle)-Oa2E7MbUThE.mkv_3.jpg 6.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 2-3_o0-zPRQqw.mkv_1.jpg 6.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/22. Probabilistic Inference II-EC6bf8JCpDQ.mkv_1.jpg 6.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 5 - Finish Paint App-F-ha0F2yLqA.mkv_1.jpg 6.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Elicitation Techniques-1UEzc2E71Hk.mkv_1.jpg 6.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scrum Development Model-Txz-Tnm_aSM.mkv_1.jpg 6.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/6. Physiological Time-Series-lLhfDSOwWtU.mkv_2.jpg 6.1 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Introduction to Deep Learning-5v1JnYv_yWs.mkv_0.jpg 6.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-JfjT1a0vi4E.mkv_1.jpg 6.1 kB
Year 2/Semester 3/1. Probability/Addition rule for probability _ Probability and Statistics _ Khan Academy-QE2uR6Z-NcU.mkv_2.jpg 6.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Control Block-4s2MKuVYKV8.mkv_0.jpg 6.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Stacks and Queues-JvGZh_BdF-8.mkv_0.jpg 6.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Hash Table-B4vqVDeERhI.mkv_0.jpg 6.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 3 Introduction to Generic Programming-_dy9JnEXekU.mkv_2.jpg 6.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 11-vnS9_NKoEKI.mkv_2.jpg 6.1 kB
Year 2/Semester 3/1. Probability/Probability (part 8)-VVr8snbaxZg.mkv_1.jpg 6.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - How to Use a Custom Domain Name for Our Application-D2lwk1Ukgz0.mkv_0.jpg 6.1 kB
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Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System-3aVqWaLjqS4.mkv_0.jpg 6.1 kB
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Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 12 – Subword Models-9oTHFx0Gg3Q.mkv_2.jpg 6.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation-yLYHDSv-288.mkv_2.jpg 6.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/22. Regulation of Machine Learning _ Artificial Intelligence in the US-k95abdkdCPk.mkv_2.jpg 6.1 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Maintenance Activities-X5cBc9z_Ibs.mkv_1.jpg 6.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP-EAJoRA0KX7I.mkv_2.jpg 6.0 kB
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Year 2/Semester 3/1. Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy-NSSoMafbBqQ.mkv_2.jpg 6.0 kB
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Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/13. Learning - Genetic Algorithms-kHyNqSnzP8Y.mkv_2.jpg 6.0 kB
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Year 2/Semester 3/1. Probability/Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy-obZzOq_wSCg.mkv_1.jpg 6.0 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads-kt3ZtW9MXhw.mkv_0.jpg 6.0 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Convolutional Neural Networks _ MIT 6.S191-iaSUYvmCekI.mkv_0.jpg 6.0 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Synchronization _ Chapter-6 _ Operating System-EOGyyyzmEGw.mkv_0.jpg 6.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/21. Probabilistic Inference I-A6Ud6oUCRak.mkv_1.jpg 6.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cohesion and Coupling-bKYlMcyuvcM.mkv_1.jpg 6.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations-kBYt67NDToI.mkv_2.jpg 6.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley)-XMcNhZZwlL4.mkv_1.jpg 6.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu-TUFins4z6o4.mkv_2.jpg 6.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-O1Xh3H1uEYY.mkv_3.jpg 6.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 6 Rebalancing AVL trees-wn1tc5SAGZk.mkv_3.jpg 6.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-r9HbMrb98CQ.mkv_2.jpg 6.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Machines-daDbY2iDmU0.mkv_0.jpg 6.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.1 Extrema of a Function on an Interval-toNQxJhXbmY.mkv_2.jpg 6.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.2 Relative Extrema of a Function on an Open Interval-a3uHiD94dkE.mkv_2.jpg 6.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.3 Find Extrema on a Closed Interval-yhEZ5qxBrLY.mkv_2.jpg 6.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.1 Increasing and Decreasing Intervals-oMWaVs5yxdo.mkv_2.jpg 6.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.2 The First Derivative Test-UFPZWLNIulo.mkv_2.jpg 6.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions-A3Ffwsnad0k.mkv_2.jpg 6.0 kB
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Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/20. Applications of Fourier Transforms-tp_MdKz3fC8.mkv_1.jpg 6.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.1 A Summary of Curve Sketching-qE5wCY-Kxnk.mkv_2.jpg 6.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.2 Curve Sketching - Full Practice-hahDwDNirpc.mkv_2.jpg 6.0 kB
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Year 2/Semester 3/4. Intro to Client-side development/Learn JavaScript - Full Course for Beginners-PkZNo7MFNFg.mp4_2.jpg 6.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 1 Introduction--EDUhPg6930.mkv_3.jpg 6.0 kB
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Year 2/Semester 3/1. Probability/Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy-W7DmsJKLoxc.mkv_1.jpg 5.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Recursion-neuDuf_i8Sg.mkv_0.jpg 5.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3-ViO56ASqeks.mkv_1.jpg 5.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-zLP_X4wyHbY.mkv_1.jpg 5.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Requirements-8uk-2-mX53U.mkv_1.jpg 5.9 kB
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Year 4/Semester 8/5. Machine Learning for Healthcare/3. Deep Dive Into Clinical Data-0UFwGJe6ubg.mkv_1.jpg 5.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples-zEdovJYAGwU.mkv_2.jpg 5.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown.-onTQhD7osY4.mkv_2.jpg 5.9 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Types of System Calls-EavqupVh8ls.mkv_0.jpg 5.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.1 Intervals of Concavity-c7_MkBWojC4.mkv_2.jpg 5.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.2 Points of Inflection-QrxGozcFxXg.mkv_2.jpg 5.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.3 The Second Derivative Test-xIkm1CXpmL4.mkv_2.jpg 5.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.4 Putting It All Together-j-HND1gJCg4.mkv_2.jpg 5.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/7. Constraints - Interpreting Line Drawings-l-tzjenXrvI.mkv_1.jpg 5.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.2 Finding the Area Between Two Curves-xOvE4dzfcdU.mkv_3.jpg 5.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.1 Rolle’s Theorem-m-XwUqPoCpA.mkv_2.jpg 5.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.2 The Mean Value Theorem-VYvS5kWS2tg.mkv_2.jpg 5.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/8. Constraints - Search, Domain Reduction-d1KyYyLmGpA.mkv_1.jpg 5.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 15 – Natural Language Generation-4uG1NMKNWCU.mkv_2.jpg 5.9 kB
Year 1/Semester 1/4. Introduction to Computer Science and Programming/Introduction to Programming and Computer Science - Full Course-zOjov-2OZ0E.mp4_0.jpg 5.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.2 The Root Test-z85YBJUiu9s.mkv_2.jpg 5.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence-ToEWg269oV0.mkv_2.jpg 5.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/9. Constraints - Visual Object Recognition-gvmfbePC2pc.mkv_1.jpg 5.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 7 complete example of adding data to an AVL tree.-7m94k2Qhg68.mkv_2.jpg 5.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 13-VuM1WnwEMRQ.mkv_1.jpg 5.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley)-FXFmy6JWj1E.mkv_0.jpg 5.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/16. Learning - Support Vector Machines-_PwhiWxHK8o.mkv_1.jpg 5.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 9 Introduction to rotations-M0Y3kDuyUCU.mkv_3.jpg 5.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 6 Exceptions-i59ZamvhmaU.mkv_3.jpg 5.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/18. Representations - Classes, Trajectories, Transitions-bQI0OmJPby4.mkv_1.jpg 5.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Re engineering-UXERB3xFgc4.mkv_1.jpg 5.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.1 Matrices and Matrix Operations-dLm1pglDFHA.mkv_3.jpg 5.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley)-hry_qqXLej8.mkv_0.jpg 5.9 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.mp4_2.jpg 5.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects-fyqm8fRDgl0.mkv_2.jpg 5.9 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/17. Discrete-Time (DT) Frequency Representations-gwa-Rh0u6bs.mkv_0.jpg 5.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.1 Direct Proof-01b3KjgPhfI.mkv_3.jpg 5.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Object Oriented Design-JK6LYUSGnWo.mkv_1.jpg 5.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 5-rLMikQTOVnI.mkv_1.jpg 5.9 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 11 - Cache Consistency - Frangipani--pKNCjUhPjQ.mkv_1.jpg 5.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R6. Boosting-ZZmzMJB-tow.mkv_0.jpg 5.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku-6DI_7Zja8Zc.mkv_0.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.1 Determine Finite Limits at Infinity-hJ1rhSj6-0I.mkv_2.jpg 5.8 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.4 Determine Infinite Limits at Infinity-kMo0hLq__Zw.mkv_2.jpg 5.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-qJmTZwzf1L4.mkv_1.jpg 5.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 4 - C++ Paint App-uzgU2XzhnHY.mkv_1.jpg 5.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 16 getValue()-jygDV6dwL74.mkv_3.jpg 5.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley)-COwyx_APxRE.mkv_1.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.1 The Chain Rule-oCu6t8XGuQo.mkv_2.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.2 The General Power Rule-aXx8VaG3zFo.mkv_2.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.3 Simplifying Derivatives-ulDOTjVG4V8.mkv_2.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.4 Trigonometric Functions and the Chain Rule-h5NLTIA76nU.mkv_2.jpg 5.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/3. Feedback, Poles, and Fundamental Modes-K3OFb7RlbVE.mkv_1.jpg 5.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-isBEVkIjgGA.mkv_1.jpg 5.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.3 Monotonic and Bounded Sequences-AwAAM_zmge4.mkv_3.jpg 5.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 2 Add Remove-7KhYwHfx40U.mkv_3.jpg 5.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/24. Robustness to Dataset Shift-VpfAWhLBjQY.mkv_2.jpg 5.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 5 Shell Sort-ddeLSDsYVp8.mkv_3.jpg 5.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Incremental Model-0r2yu-8RdEA.mkv_2.jpg 5.8 kB
Year 2/Semester 3/1. Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy-9G0w61pZPig.mkv_2.jpg 5.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 11 Iterators-bx0ebSGUKto.mkv_2.jpg 5.8 kB
Year 2/Semester 3/1. Probability/Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy-uzkc-qNVoOk.mkv_2.jpg 5.8 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.3 Higher Order Derivatives-uEX4Ufm7AlY.mkv_2.jpg 5.8 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for Android (Coding TensorFlow)-JnhW5tQ_7Vo.mkv_1.jpg 5.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 4 addFirst()-yMoHuOZzMpk.mkv_3.jpg 5.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Simply Easy Learning Steps-1iJn6quPp50.mkv_1.jpg 5.8 kB
Year 4/Semester 7/5. Robotics/Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009-g-VehRFsDcI.mkv_2.jpg 5.8 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Mac-SKV0npCFxFs.mkv_1.jpg 5.8 kB
Year 2/Semester 3/1. Probability/Probability (part 4)-W581OBM9rAY.mkv_1.jpg 5.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 14 – Transformers and Self-Attention-5vcj8kSwBCY.mkv_2.jpg 5.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Waterfall Model-fN6JgY6BEFs.mkv_2.jpg 5.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.2 Pattern Recognition for Sequences-6YFWJBE3o9w.mkv_3.jpg 5.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 9 Chaining-nVu_OnyGk6U.mkv_3.jpg 5.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/11. Continuous-Time (CT) Frequency Response and Bode Plot-2X7o37pfdp8.mkv_1.jpg 5.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Convolutional Neural Networks-H-HVZJ7kGI0.mkv_0.jpg 5.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/10. Application of Machine Learning to Cardiac Imaging-MoEaRpLNo9A.mkv_2.jpg 5.8 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 6 - User Registration-q4jPR-M0TAQ.mkv_0.jpg 5.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Rapid Application Development (RAD)-yngKRepAgSg.mkv_2.jpg 5.8 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process Scheduling-2h3eWaPx8SA.mkv_0.jpg 5.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'-a86Vj_7R2aQ.mkv_2.jpg 5.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.2 The Logistic Differential Equation-Aw5fxCLXNco.mkv_3.jpg 5.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/22. Sampling and Quantization-bJvv5SckGeA.mkv_1.jpg 5.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 5 - Go, Threads, and Raft-UzzcUS2OHqo.mkv_0.jpg 5.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley)-3hfL3ckFAfo.mkv_1.jpg 5.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate-F1sIkFyteqE.mkv_2.jpg 5.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-NCUDEgLfC_I.mkv_3.jpg 5.8 kB
Year 2/Semester 3/1. Probability/Probability without equally likely events _ Probability and Statistics _ Khan Academy-RI874OSJp1U.mkv_2.jpg 5.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/6. Laplace Transform-MRy8xxvsZA4.mkv_0.jpg 5.8 kB
Year 4/Semester 7/4. Computer Vision/MIT 6.S094 - Computer Vision-CLOAswsxudo.mkv_0.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.1 Optimization Problems-LnXewON-ifk.mkv_2.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.2 Optimization Practice-Q5CrW8yQo-0.mkv_2.jpg 5.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 8 - Data Splits, Models & Cross-Validation _ Stanford CS229 - Machine Learning (Autumn 2018)-rjbkWSTjHzM.mkv_2.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.1 Find the Slope of a Tangent Line-zCxbsCbgAKo.mkv_2.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.2 Derivatives Using the Limit Definition--Agj1BVzQ8U.mkv_2.jpg 5.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.3 Differentiability and Continuity-V2VsldkLE90.mkv_2.jpg 5.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree 2-UcOxGmj45AA.mkv_0.jpg 5.8 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Reinforcement Learning _ MIT 6.S191-nZfaHIxDD5w.mkv_0.jpg 5.8 kB
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Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 5 - GDA & Naive Bayes _ Stanford CS229 - Machine Learning (Autumn 2018)-nt63k3bfXS0.mkv_2.jpg 5.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.2 Rates of Change-xpSqZGYB5P0.mkv_2.jpg 5.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 10 Quick Sort Code-4IE3wIXFVPc.mkv_3.jpg 5.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 11 Radix Sort-Uey0-GOMtT8.mkv_3.jpg 5.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown-3AkOjmtz0XU.mkv_2.jpg 5.7 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started-UmljXZIypDc.mkv_0.jpg 5.7 kB
Year 2/Semester 3/1. Probability/Finding probability example 2 _ Probability and Statistics _ Khan Academy-mLE-SlOZToc.mkv_2.jpg 5.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 6 - Support Vector Machines _ Stanford CS229 - Machine Learning (Autumn 2018)-lDwow4aOrtg.mkv_2.jpg 5.7 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility-OP3l8VUEE-8.mkv_2.jpg 5.7 kB
Year 2/Semester 3/1. Probability/Dependent probability example _ Probability and Statistics _ Khan Academy-xPUm5SUVzTE.mkv_2.jpg 5.7 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Generative Modeling-yFBFl1cLYx8.mkv_0.jpg 5.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions-hWEZsyF3ZZc.mkv_2.jpg 5.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.2 One to One and Onto Functions-plSzGYwo-ew.mkv_3.jpg 5.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 4 Expression Trees-V9oTubnyb0Y.mkv_3.jpg 5.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/11. RNA Secondary Structure; Biological Functions and Predictions-kUN6rJ21Hno.mkv_1.jpg 5.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.3 Introduction to Logic Circuits-iyHXkQIbOUI.mkv_3.jpg 5.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Black Box Testing-5KQQtXGBBiA.mkv_1.jpg 5.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.1 Implicit and Explicit Functions-I0JjW7JkiGk.mkv_2.jpg 5.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.2 Implicit Differentiation-e1wr8svxdeA.mkv_2.jpg 5.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.1 The Product and Quotient Rules-KPXIuZwQxts.mkv_2.jpg 5.7 kB
Year 4/Semester 7/5. Robotics/Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009-qtmmwILxVR4.mkv_2.jpg 5.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.2 The Alternating Series Remainder-VIz5UHc0JGg.mkv_3.jpg 5.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections-zEKfcK6A_Rg.mkv_2.jpg 5.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.2 - An Introduction to Hypothesis Testing-ev8cKdrdA4s.mkv_2.jpg 5.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Programming Style-9T7p-Sx7G-Y.mkv_1.jpg 5.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/8. Convolution-w1Z2FX8rQc0.mkv_0.jpg 5.7 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities-OFU64V8rEDM.mkv_2.jpg 5.7 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019-WXLb4h2A724.mkv_3.jpg 5.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Critical Path Analysis-6e_GCocYNv8.mkv_1.jpg 5.7 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 20-TdTFYVjzs1I.mkv_1.jpg 5.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample-MfkJu7J1LE4.mkv_2.jpg 5.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Structures of Operating System-XXPBl20J22w.mkv_0.jpg 5.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scope of CASE Tools-iX6EntDbbYw.mkv_1.jpg 5.7 kB
Year 2/Semester 3/1. Probability/Free throwing probability _ Probability and Statistics _ Khan Academy-iMqCSgqzmiQ.mkv_2.jpg 5.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 8 - Zookeeper-pbmyrNjzdDk.mkv_1.jpg 5.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-IUk9o9wvX1Y.mkv_0.jpg 5.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operating System Services-TQWERtMoKbI.mkv_0.jpg 5.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/16. Protein Interaction Networks-RBPcKbEvK3U.mkv_0.jpg 5.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.1 Basic Differentiation Rules-hbiX_8jPtB0.mkv_2.jpg 5.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.2 Finding Parametric Equations-SVRAgdtNTvQ.mkv_3.jpg 5.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/White Box Testing-qOKPHpXuEvY.mkv_1.jpg 5.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/1. Signals and Systems--FHm2pQmiSM.mkv_0.jpg 5.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tpQPN01i3GA.mkv_1.jpg 5.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Binary Search Tree-M6lYob8STMI.mkv_0.jpg 5.7 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial-N5HgK1bTLOg.mkv_2.jpg 5.6 kB
Year 4/Semester 7/5. Robotics/Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009-4kB94UDwJ0M.mkv_2.jpg 5.6 kB
Year 2/Semester 3/1. Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy-8TIben0bJpU.mkv_1.jpg 5.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known-kv8u7yl6VQk.mkv_2.jpg 5.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-PhUo1IMo6UU.mkv_2.jpg 5.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 18-kqt1YV9dEoE.mkv_1.jpg 5.6 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Machine Learning for Scent _ MIT 6.S191-Z5Pw5eWItiw.mkv_0.jpg 5.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Modularization-dah74-XZVXc.mkv_1.jpg 5.6 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/13. Continuous-Time (CT) Feedback and Control, Part 2-gxgV_oOG7Zc.mkv_1.jpg 5.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.1 An Introduction to Conic Sections-2g_1--LXlM4.mkv_3.jpg 5.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Welcome to Data Structures-zgCnMvvw6Oo.mkv_3.jpg 5.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Configuration Management-nDp6uBFHfQU.mkv_1.jpg 5.6 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 17 - MDPs & Value_Policy Iteration _ Stanford CS229 - Machine Learning (Autumn 2018)-d5gaWTo6kDM.mkv_2.jpg 5.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 20 - C++ Regex 2-NPccLyAHD6Y.mkv_1.jpg 5.6 kB
Year 4/Semester 8/4. Self-Driving Cars/Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars-LDprUza7yT4.mkv_0.jpg 5.6 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 11 - Introduction to Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-MfIjxPh6Pys.mkv_1.jpg 5.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 3-WqBc0ZCU4Uw.mkv_1.jpg 5.6 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2-Ge65ukmJTzQ.mkv_1.jpg 5.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation.-d7w9fRlDXQk.mkv_2.jpg 5.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/11. Learning - Identification Trees, Disorder-SXBG3RGr_Rc.mkv_1.jpg 5.6 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for iOS (Coding TensorFlow)-0SBtAjUauOc.mkv_1.jpg 5.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 21-rfTt7k6Nv-I.mkv_1.jpg 5.6 kB
Year 2/Semester 3/1. Probability/Probability density functions _ Probability and Statistics _ Khan Academy-Fvi9A_tEmXQ.mkv_2.jpg 5.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Sockets in Operating System-uagKTbohimU.mkv_0.jpg 5.6 kB
Year 3/Semester 5/4. Client-side development with React/Learn React JS - Full Course for Beginners - Tutorial 2019-DLX62G4lc44.mp4_2.jpg 5.6 kB
Year 1/Semester 2/4. Computer System Architecture/Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-cIhExOjdFPI.mkv_2.jpg 5.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 4 TrickleDown-jHZu1GV27tI.mkv_2.jpg 5.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning-RN8qpSs8ozY.mkv_2.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics Tips & Tricks - Hamming Distance-QklZXyR7Q6M.mkv_0.jpg 5.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 5 HeapSort-LbB357_RwlY.mkv_2.jpg 5.6 kB
Year 2/Semester 3/1. Probability/Expected Value - E(X)-j__Kredt7vY.mkv_1.jpg 5.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Communication Management-0q-ZVshvypU.mkv_1.jpg 5.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations-oWJB0NaIcEE.mkv_2.jpg 5.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Component Reusability-dapI52aXDLo.mkv_1.jpg 5.6 kB
Year 3/Semester 5/1. Databases (SQL)/SQL Tutorial - Full Database Course for Beginners-HXV3zeQKqGY.mkv_2.jpg 5.6 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Queue Scheduling Algorithm-fvkSXMZaBNY.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides.-Wkx0fI4e0fs.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement.-h1aP9HCFu6Y.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation.-7k9nCLrHipQ.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage.-J72gVimVadQ.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 5 - Open Reading Frames.-8xDdJl9dYHg.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame.-Vi9wv6b3deU.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database.-mJDe5QG2L9k.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class.-7HdmQ4AYjZw.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class.-pU9gd1TGUmQ.mkv_0.jpg 5.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions.-Q-ZJ3NYSMEk.mkv_0.jpg 5.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 24-GAKpnKLnJtc.mkv_1.jpg 5.6 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 9 - More Replication, CRAQ-IXHzbCuADt0.mkv_0.jpg 5.5 kB
Year 4/Semester 7/5. Robotics/Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009-CUygqWS7occ.mkv_2.jpg 5.5 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations-aHC3uTkT9r8.mkv_0.jpg 5.5 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial for Beginners-KJgsSFOSQv0.mkv_2.jpg 5.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/HIPO Diagram-eqtnhKcYoHk.mkv_0.jpg 5.5 kB
Year 2/Semester 3/1. Probability/Probability (part 6)-xf3vfczoCho.mkv_1.jpg 5.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation-lPe-rQA_afU.mkv_2.jpg 5.5 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-6-4pJt1M18s.mkv_2.jpg 5.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation-WNgcmn5cXjI.mkv_2.jpg 5.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 8 remove and find-xo9_PkC5Ml0.mkv_1.jpg 5.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Operation on Processes – Process Creation-pSW9d3Oaie8.mkv_0.jpg 5.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Windows-kI5x9TEz3qk.mkv_0.jpg 5.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Running the Network - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.6-CPZ5ihaNfJc.mkv_0.jpg 5.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 2 - Linear Regression and Gradient Descent _ Stanford CS229 - Machine Learning (Autumn 2018)-4b4MUYve_U8.mkv_2.jpg 5.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 2 - C++ Calculator-txGRU7OrTZo.mkv_0.jpg 5.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT 6.S191 (2019) - Deep Reinforcement Learning-i6Mi2_QM3rA.mkv_0.jpg 5.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/12. Continuous-Time (CT) Feedback and Control, Part 1-5w2BvCPuYY0.mkv_1.jpg 5.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction-ljeQ1yNexIU.mkv_2.jpg 5.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Interprocess Communication-dJuYKfR8vec.mkv_0.jpg 5.5 kB
Year 2/Semester 3/1. Probability/Expected value of binomial distribution _ Probability and Statistics _ Khan Academy-SqcxYnNlI3Y.mkv_2.jpg 5.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Bloom Filters-heEDL9usFgs.mkv_2.jpg 5.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Generalizable Autonomy for Robot Manipulation _ MIT 6.S191-8Kn4Gi8iSYQ.mkv_0.jpg 5.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/2. Local Alignment (BLAST) and Statistics-6Udqou3vmng.mkv_0.jpg 5.5 kB
Year 4/Semester 7/4. Computer Vision/OpenCV Course - Full Tutorial with Python-oXlwWbU8l2o.mkv_1.jpg 5.5 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Memory _ Chapter-9 _ Operating System-rZIVS3eUDrw.mkv_1.jpg 5.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Barack Obama - Intro to Deep Learning _ MIT 6.S191-l82PxsKHxYc.mkv_0.jpg 5.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.3 - A Study of Binomial Probability Distributions-iGKSxMGX0Do.mkv_2.jpg 5.5 kB
Year 4/Semester 7/5. Robotics/Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009--RRYZ-b9NpI.mkv_0.jpg 5.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-gQvaT_AU0Gg.mkv_1.jpg 5.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 13 - Debugging ML Models and Error Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-ORrStCArmP4.mkv_1.jpg 5.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu-z0EknfZdlIs.mkv_2.jpg 5.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka-JMUxmLyrhSk.mkv_1.jpg 5.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/25. Audio CD-t2hNMFoIv8w.mkv_2.jpg 5.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 12 - Operator Overloading & File I_O-gc7Eqba1c5g.mkv_1.jpg 5.5 kB
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Year 2/Semester 4/1. Operating Systems/1. Operating System/Context Switch-vTgccrbYHYs.mkv_0.jpg 5.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/2. Bioinformatics with Python/Bioinformatics in Python - Intro-3joOQ3A3KBQ.mkv_0.jpg 5.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 16-4A5LiJpPDRw.mkv_1.jpg 5.5 kB
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Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 13 - Advanced Functions-TGOXttOoI0U.mkv_1.jpg 5.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 15 - Big Data - Spark-mzIoSW-cInA.mkv_2.jpg 5.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/5. Z Transform-iI-ejO9hczw.mkv_1.jpg 5.5 kB
Year 3/Semester 6/2. Introduction to Deep Learning/Neurosymbolic AI _ MIT 6.S191-4PuuziOgSU4.mkv_0.jpg 5.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 15 - Smart Pointers & Polymorphic Templates-q_LUYLV3l44.mkv_1.jpg 5.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-4_Z07m8tf6k.mkv_0.jpg 5.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-QKdiZSfwg-g.mkv_1.jpg 5.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms-AbHn39y8eUo.mkv_2.jpg 5.5 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu-Z1jsJKAlWjw.mkv_0.jpg 5.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/21. Sampling-1El4znkRH0g.mkv_2.jpg 5.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.4 Optimization Algorithms-MWaJuoFwyv8.mkv_3.jpg 5.5 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors-Ju6Z90Spme0.mkv_3.jpg 5.4 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019-3UGti9Ju5j8.mkv_2.jpg 5.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 18 – Constituency Parsing, TreeRNNs-6Z4A3RSf-HY.mkv_2.jpg 5.4 kB
Year 2/Semester 3/1. Probability/Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy-PddbEVNMgTY.mkv_2.jpg 5.4 kB
Year 2/Semester 3/1. Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy-xSc4oLA9e8o.mkv_1.jpg 5.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 7 - Kernels _ Stanford CS229 - Machine Learning (Autumn 2018)-8NYoQiRANpg.mkv_2.jpg 5.4 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Documentation-LO9Hs09BbZQ.mkv_1.jpg 5.4 kB
Year 3/Semester 6/1. Non-relational Databases/An Introduction To NoSQL Databases-uD3p_rZPBUQ.mkv_1.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 16 - C++ Threads-IdwJdJw65tU.mkv_1.jpg 5.4 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 6 - Fault Tolerance - Raft (1)-64Zp3tzNbpE.mkv_2.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 17 - Sequence Containers-KJWOm1bXUxM.mkv_1.jpg 5.4 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/4. Comparative Genomic Analysis of Gene Regulation-14m9MW-qMhg.mkv_1.jpg 5.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score-JaVA-nXKVRI.mkv_2.jpg 5.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Visualizing - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.3-MqcZYw8Tgpc.mkv_0.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 19 - C++ Regular Expressions-9K4N6MO_R1Y.mkv_1.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 11 - Polymorphism-k7O7AGfDI2c.mkv_1.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 18 - Associative Containers & Container Adapters-IaTzi_bsuJU.mkv_1.jpg 5.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/E-Type Software Evolution--dCJi82Euco.mkv_1.jpg 5.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion-iZRSKK0aepM.mkv_2.jpg 5.4 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial _ Learn C programming _ C language--CpG3oATGIs.mkv_2.jpg 5.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/V Model-5jJ_PBX3XsE.mkv_1.jpg 5.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 14 Review of constructors-CQPy29vNa1M.mkv_2.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 10 - Object Oriented Programming-ZOKLjJF54Xc.mkv_1.jpg 5.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/2. Overview of Clinical Care-DS97JV_o0Fs.mkv_2.jpg 5.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java 2-iR5wyCaIayk.mkv_0.jpg 5.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations-OyRzpScJuvE.mkv_2.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 9 - Lambda Expressions-482weZjwVHY.mkv_1.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Install C++ & NetBeans-DamuE8TM3xo.mkv_1.jpg 5.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-2RhGMpY18zw.mkv_1.jpg 5.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2-KlffppN47lc.mkv_0.jpg 5.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 10 - Decision Trees and Ensemble Methods _ Stanford CS229 - Machine Learning (Autumn 2018)-wr9gUr-eWdA.mkv_1.jpg 5.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Algorithms-f5OD9CKrZEw.mkv_0.jpg 5.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.2 Center of Mass of a Planar Lamina-xq8z6SqVXTM.mkv_3.jpg 5.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 14 - Expectation-Maximization Algorithms _ Stanford CS229 - Machine Learning (Autumn 2018)-rVfZHWTwXSA.mkv_2.jpg 5.4 kB
Year 4/Semester 7/5. Robotics/Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009--fCLJ1pGht4.mkv_2.jpg 5.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration--mjWOV6Ye84.mkv_2.jpg 5.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 21 - C++ Regex 3-tsR2rNTX3D0.mkv_1.jpg 5.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley)-kXmKxtXEXyQ.mkv_1.jpg 5.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs-QEw0qEa0E50.mkv_2.jpg 5.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 9-KBVkri8k3Ao.mkv_2.jpg 5.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Stacks and Queues 3 Using arrays to write stacks and queues-sHgHZdZEjz4.mkv_3.jpg 5.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation-D6EzBdAbT2Q.mkv_2.jpg 5.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.3 The Euclidean Algorithm-5LhWIaWlprM.mkv_3.jpg 5.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 5 Node Class-MDERPc4eU-M.mkv_3.jpg 5.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.1 Represent Functions with the Geometric Power Series-JxZV7XLLFRg.mkv_2.jpg 5.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Multilevel Feedback-Queue Scheduling Algorithm-1KLuC0knvs8.mkv_0.jpg 5.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention-XXtpJxZBa2c.mkv_2.jpg 5.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 19 – Bias in AI-XR8YSRcuVLE.mkv_2.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions-2mIERXU7wWY.mkv_1.jpg 5.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Main Memory _ Chapter-8 _ Operating System-m7iXeDyFe4I.mkv_1.jpg 5.3 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu-y94DjKHPYVk.mkv_1.jpg 5.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/10. Markov and Hidden Markov Models of Genomic and Protein Features-d5NMrA2HkG4.mkv_1.jpg 5.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Levels-K7npUb4czqg.mkv_1.jpg 5.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 4 - Primary-Backup Replication-M_teob23ZzY.mkv_2.jpg 5.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley)-KRenWKpfGo4.mkv_0.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 3 - Qt Charts-MHn3ZTWcyXk.mkv_1.jpg 5.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.1 Proof by Cases-dheuJkuSNyI.mkv_2.jpg 5.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 17 – Multitask Learning-M8dsZsEtEsg.mkv_2.jpg 5.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Entity Relationship Model-p7GsjrXoW28.mkv_0.jpg 5.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R5. Support Vector Machines-6nDqY8MPLDM.mkv_1.jpg 5.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley)-Vq4kd_jlnGk.mkv_1.jpg 5.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 11 - Pagination-acOktTcTVEQ.mkv_0.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial - C++ Notepad App-I96uPDifZ1w.mkv_0.jpg 5.3 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page-1PkNiYlkkjo.mkv_0.jpg 5.3 kB
Year 4/Semester 7/5. Robotics/Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009-7LLUz7A1--Q.mkv_1.jpg 5.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/1. Introduction to Computational and Systems Biology-lJzybEXmIj0.mkv_0.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 14 - Templates & Iterators-ywNZAebgEZw.mkv_1.jpg 5.3 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/CSS Crash Course For Absolute Beginners-yfoY53QXEnI.mkv_1.jpg 5.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 17 - COPS, Causal Consistency-fR_NB714EAI.mkv_2.jpg 5.3 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 8-aHW6HKVC-SY.mkv_1.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops-tT8ICXAO_-4.mkv_1.jpg 5.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 4 Parameterized Types-DjJRWroA168.mkv_2.jpg 5.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5-_DAeMDMHgtY.mkv_0.jpg 5.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 2 Hash Functions-XYmI-T-JJso.mkv_2.jpg 5.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.1 Finding The Area Under a Curve-g-l13hjukiI.mkv_3.jpg 5.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Programming-qpUQpxpeixA.mkv_1.jpg 5.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-U8K13P6loyk.mkv_1.jpg 5.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Design-nzLvmyBgOfk.mkv_1.jpg 5.3 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12b - Deep Neural Nets-VrMHA3yX_QI.mkv_1.jpg 5.3 kB
Year 4/Semester 7/5. Robotics/Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009-Z8oMbOj9IWM.mkv_2.jpg 5.3 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning-V7CY68zH6ps.mkv_2.jpg 5.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/25. Interpretability-wDLzLN1tArA.mkv_1.jpg 5.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.2 Rules of Inference for Quantified Statements-zMtToQelLN8.mkv_2.jpg 5.3 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/HTML Crash Course For Absolute Beginners-UB1O30fR-EE.mkv_0.jpg 5.3 kB
Year 2/Semester 3/1. Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy-gyqodNhM3EU.mkv_1.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 5 - Strings & Math-xxMG5HwCK6w.mkv_1.jpg 5.3 kB
Year 4/Semester 7/5. Robotics/Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009-E-sOMfDVe8o.mkv_2.jpg 5.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables-tj_98IO-lCk.mkv_2.jpg 5.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/18. Discrete-Time (DT) Fourier Representations-3D51nqZ-97Q.mkv_2.jpg 5.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.4 Useful Functions to Know-_a9veRNS78w.mkv_3.jpg 5.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.1 The Taylor and Maclaurin Series-xU4sUffRUks.mkv_3.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 4 - Exception Handling & Looping-HD72quXVuE4.mkv_1.jpg 5.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 7 - Solving Problems-EKKOi4E7pm0.mkv_1.jpg 5.3 kB
Year 4/Semester 8/4. Self-Driving Cars/Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars-HKBhP9JISF0.mkv_0.jpg 5.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-b4Dl85FVSok.mkv_2.jpg 5.3 kB
Year 3/Semester 6/2. Introduction to Deep Learning/MIT Introduction to Deep Learning _ 6.S191-njKP3FqW3Sk.mkv_0.jpg 5.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-AXf_C5qOm8o.mkv_0.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 5 addLast()-Pka_xr87Krg.mkv_2.jpg 5.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions-0ZioAyD2CO0.mkv_1.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 18 KeyIterator-2LuVyqAC0ZA.mkv_2.jpg 5.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Maintenance Overview-ZsSPBsl1Ld8.mkv_1.jpg 5.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent-H6gIC1FF1b4.mkv_2.jpg 5.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R3. Games, Minimax, Alpha-Beta-hM2EAvMkhtk.mkv_1.jpg 5.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018)-jGwO_UgTS7I.mkv_2.jpg 5.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 3 - Pointers & Functions-7pLldfZunJI.mkv_1.jpg 5.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.3 Applications Involving the Area Between Two Curves-NksmQNMEZ3A.mkv_2.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 10 Testing the list-XUiRmbBn71w.mkv_2.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 3 - Classes--qjrcxVmf2Q.mkv_3.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 1 The Rules-nMExd4DthdA.mkv_2.jpg 5.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.1 Determinants and the IMT-XMWBC5_rFpI.mkv_3.jpg 5.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals-XLbK4qxmuMk.mkv_2.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Java Heaps-eFCn6udv3gQ.mkv_0.jpg 5.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.1 Introduction to Sequences-x2Ul4NtyoHw.mkv_3.jpg 5.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-JXtH_ABQFX0.mkv_2.jpg 5.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 5 - Finish Paint App-F-ha0F2yLqA.mkv_0.jpg 5.2 kB
Year 2/Semester 3/1. Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy-mkyZ45KQYi4.mkv_2.jpg 5.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/15. Learning - Near Misses, Felicity Conditions-sh3EPjhhd40.mkv_0.jpg 5.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R7. Near Misses, Arch Learning-J-ocRQCjcwE.mkv_0.jpg 5.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pip8h9vjTHY.mkv_2.jpg 5.2 kB
Year 2/Semester 3/1. Probability/Law of large numbers _ Probability and Statistics _ Khan Academy-VpuN8vCQ--M.mkv_1.jpg 5.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley)-UzmUAA8qFaM.mkv_0.jpg 5.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Brings Simply Easy Learning-lezQQ0d1pxc.mkv_0.jpg 5.2 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 13 – Contextual Word Embeddings-S-CspeZ8FHc.mkv_2.jpg 5.2 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tXIO8JNwCi0.mkv_1.jpg 5.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Scheduling-SkQzQCAWf8M.mkv_1.jpg 5.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 26-DpxNW0T8CWg.mkv_2.jpg 5.2 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 6 - Solving Problems-VPT9jXt3GC0.mkv_1.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 9 peek()-GIE2XiztuXg.mkv_2.jpg 5.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3-G-KvpNGudLw.mkv_2.jpg 5.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System-3NkxeDnLh4A.mkv_2.jpg 5.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 15 - EM Algorithm & Factor Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-tw6cmL5STuY.mkv_1.jpg 5.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 11. Precise Exceptions, State Maintenance_Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu-nMfbtzWizDA.mkv_3.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 3 Some examples of big-Oh notation-66ovUEE0bQI.mkv_1.jpg 5.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-ibPL7T9iEwY.mkv_0.jpg 5.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.2 Proof by Contraposition-vMwejR0bqwo.mkv_2.jpg 5.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse-bZ275aLiypo.mkv_2.jpg 5.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/1. Introduction and Scope-TjZBTDzGeGg.mkv_0.jpg 5.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Engineering Process-Z9mKgHbfPpE.mkv_0.jpg 5.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 12 - Distributed Transactions-aDp99WDIM_4.mkv_2.jpg 5.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 6 Merge Sort-qdv3i6X0PiQ.mkv_2.jpg 5.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019-YygGzfkhtJc.mkv_2.jpg 5.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/18. Disease Progression Modeling and Subtyping, Part 1-yYWyLZrdRRI.mkv_1.jpg 5.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-93CVEOXM3T4.mkv_0.jpg 5.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 7 - Fault Tolerance - Raft (2)-4r8Mz3MMivY.mkv_2.jpg 5.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/CASE Tools-_74Nra8h5Go.mkv_1.jpg 5.1 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19)-s65BigoMV_I.mkv_0.jpg 5.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 2 ComparableGenerics-HtahYOYb7zM.mkv_1.jpg 5.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.3 Negating and Translating with Quantifiers-8eCZ1suibCw.mkv_2.jpg 5.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4-lqhMTkouBx0.mkv_0.jpg 5.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-WQL2yMciD2M.mkv_1.jpg 5.1 kB
Year 3/Semester 5/2. Web Application Development/Django Tutorial/Python Django Tutorial - Full-Featured Web App Part 3 - Templates-qDwdMDQ8oX4.mkv_0.jpg 5.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 3 - Locally Weighted & Logistic Regression _ Stanford CS229 - Machine Learning (Autumn 2018)-het9HFqo1TQ.mkv_0.jpg 5.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/4. Risk Stratification, Part 1-_shuV1tJbTU.mkv_0.jpg 5.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Pseudo Code-Q6uewwnqRBk.mkv_1.jpg 5.1 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/14. Predicting Protein Interactions-C95294_vvQY.mkv_0.jpg 5.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-P-mXr9adbCc.mkv_1.jpg 5.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 3 Collisions-YIoZQwWJIDA.mkv_2.jpg 5.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics-9FtHB7V14Fo.mkv_2.jpg 5.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/22. Probabilistic Inference II-EC6bf8JCpDQ.mkv_0.jpg 5.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 22-HFqO_8Eoc1U.mkv_1.jpg 5.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering-yIdF-17HwSk.mkv_2.jpg 5.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.2 The Spanning Set Theorem-atwUmR-qpfk.mkv_3.jpg 5.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.3 Proof by Contradiction-b-kFWP9a2tw.mkv_2.jpg 5.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley)-LsRXYEc-yDM.mkv_1.jpg 5.1 kB
Year 3/Semester 5/2. Web Application Development/Python Django Web Framework - Full Course for Beginners-F5mRW0jo-U4.mkv_2.jpg 5.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-jDHx2K9HxlM.mkv_1.jpg 5.1 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 1-O12yTz_8EOw.mkv_0.jpg 5.1 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions-yFPwq0jlGt4.mkv_1.jpg 5.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-MB_mzk4dACo.mkv_0.jpg 5.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/1. Java Algorithms/Linked List in Java-195KUinjBpU.mkv_0.jpg 5.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 5 checking balance in an AVL tree-iNy6c4Q9Umw.mkv_3.jpg 5.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 12 Sort Summary-tgVitpkdkUo.mkv_0.jpg 5.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019-lzBB7xoZ3Q8.mkv_2.jpg 5.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Approaches-Urphtihj-Bg.mkv_0.jpg 5.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Levels-dBnbaB80aZo.mkv_0.jpg 5.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019-7b2_3dDTKMc.mkv_2.jpg 5.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.4.1 Trigonometric Substitution-wQgEjJ0PBH8.mkv_3.jpg 5.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.3 - The Addition Rule for Probability-mmWxtSx03JI.mkv_2.jpg 5.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 19 - Bitcoin-K_euhRou98Y.mkv_2.jpg 5.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math 1.2.1 - Translating Propositional Logic Statements-A2k3ulOJ3u4.mkv_2.jpg 5.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Functional Programming-tKxSKN9yWDA.mkv_0.jpg 5.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4-HCBX2cuA5UU.mkv_2.jpg 5.1 kB
Year 2/Semester 3/1. Probability/Conditional probability and combinations _ Probability and Statistics _ Khan Academy-xw6utjoyMi4.mkv_0.jpg 5.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation-IdBSLvoP6uY.mkv_1.jpg 5.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.2 Solving Logic Puzzles-N2YHianzseI.mkv_3.jpg 5.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley)-uVKyubtOWr0.mkv_1.jpg 5.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/17. Reinforcement Learning, Part 2-zdotUAxiPGM.mkv_1.jpg 5.1 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/8. Natural Language Processing (NLP), Part 2-lkO2ocJBsmI.mkv_1.jpg 5.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.3 Proving Set Identities-tRknuaNSlrU.mkv_3.jpg 5.1 kB
Year 2/Semester 3/1. Probability/Frequency stability property short film _ Computer Science _ Khan Academy-vVXbgbMp0oY.mkv_1.jpg 5.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley)-r_SpMPgK2X0.mkv_0.jpg 5.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.3 Inverse Functions and Composition of Functions-aQefXelCN5Y.mkv_2.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 1 Introduction to sorts-H3FCoYQMKvI.mkv_2.jpg 5.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/13. Machine Learning for Mammography-2ZXYM1h9pgY.mkv_3.jpg 5.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities.-05JCQswK3hE.mkv_2.jpg 5.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals-rAxXcX_w5fE.mkv_1.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.1 Antiderivatives-HU5gEKXXeiU.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.2 Basic Integration Rules-8TcwW0mhdAY.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.3 Find Particular Solutions to Differential Equations-HSJqLLMLlyA.mkv_2.jpg 5.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Process State-jZ_6PXoaoxo.mkv_0.jpg 5.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-IYMYI9AJpQs.mkv_2.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/k-mer algorithms - Compare and Swap-8XJ8r_n7POY.mkv_0.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 7 removeLast()-VGlcF3VQ-Pg.mkv_1.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Manual Vs Automated Testing-3J4-aCF37z0.mkv_0.jpg 5.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code-vPqQSKsxH4k.mkv_2.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Life Cycle-sARoc6GyCq8.mkv_1.jpg 5.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/21. Automating Clinical Work Flows-Td01vFP3uJo.mkv_2.jpg 5.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.2 Disk Method vs. Shell Method-fg01lNpUQMo.mkv_3.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software User Interface Design-Ky_80dA7mD0.mkv_1.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically-OzL5d2GBUWI.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.2 Find Limits Graphically and Numerically - When Limits Fail to Exist-54q-w2Gpz4o.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.3 Find Limits Graphically and Numerically - The Formal Definition of A Limit-QBxxKXDaRvc.mkv_2.jpg 5.0 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/7. ChIP-seq Analysis; DNA-protein Interactions-Ob9xGBPvr_s.mkv_0.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Execution and Monitoring-dXYMZDaPkUE.mkv_2.jpg 5.0 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 10-Jsg9TwLRTbM.mkv_2.jpg 5.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/15. Causal Inference, Part 2-g5v-NvNoJQQ.mkv_2.jpg 5.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/20. Precision Medicine-kZrb6ZIwJqg.mkv_2.jpg 5.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.1 Introduction to Functions-BaaC0IOkfWI.mkv_3.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Risk Management-SA5F_GIXbok.mkv_1.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Golden Rules-gxQmn3_JMZ0.mkv_0.jpg 5.0 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 17-PPCnYiTpbCo.mkv_1.jpg 5.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/7. Constraints - Interpreting Line Drawings-l-tzjenXrvI.mkv_0.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Management Tools-e1NYaiwIla0.mkv_0.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cost of Maintenance-Tq2p3eegguI.mkv_0.jpg 5.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2-RVt4EN-XdPA.mkv_2.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 10 Rehashing-7PuZOsxe-mo.mkv_2.jpg 5.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/10. Introduction to Learning, Nearest Neighbors-09mb78oiPkA.mkv_0.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Charts-vdUO-sGA1DA.mkv_1.jpg 5.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/6. Search - Games, Minimax, and Alpha-Beta-STjW3eH0Cik.mkv_0.jpg 5.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.1.2 Modular Arithmetic-tBmuDlpQ0a8.mkv_3.jpg 5.0 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/4. Search - Depth-First, Hill Climbing, Beam-j1H3jAAGlEA.mkv_0.jpg 5.0 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control-j080VBVGkfQ.mkv_2.jpg 5.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.3 Sorting Algorithms-sE00DnGrqcM.mkv_3.jpg 5.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities-IXvUn9iR2wA.mkv_2.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 8 Remove-YeSPhuU-QtE.mkv_2.jpg 5.0 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Setup Visual Studio Code Mac-SKV0npCFxFs.mkv_0.jpg 5.0 kB
Year 4/Semester 7/5. Robotics/Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009-89GQHKOeUcU.mkv_1.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.1 Riemann Sums-xeyfJ-WktOQ.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.2 Definite Integrals-YFEk1YI3lwk.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.3 Properties of Definite Integrals-ePTEdW4xj5o.mkv_2.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 5 checking violations in the tree-pJWAi6u7Nq4.mkv_2.jpg 5.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.2 Searching Algorithms-ZmOEkt7029g.mkv_3.jpg 5.0 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 4 - C++ Paint App-uzgU2XzhnHY.mkv_0.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 8 Quick Sort-ZHVk2blR45Q.mkv_3.jpg 5.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/19. Relations Among Fourier Representations-HDYAbIA-DNY.mkv_1.jpg 5.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks-8CWyBNX6eDo.mkv_2.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Project Management-FCn0xVZQx3w.mkv_1.jpg 5.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.7.1 Fluid Pressure and Fluid Force-G62RLNbZhmw.mkv_3.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Resource Management-u3Y71H98AZU.mkv_1.jpg 5.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 1 Introduction to complexity-IgeJmTKQlKs.mkv_2.jpg 5.0 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Deadlocks _ Chapter-7 _ Operating System-KrbjE6IRrM4.mkv_1.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Command Line Interface (CLI)-4aEETgIA_Wo.mkv_0.jpg 5.0 kB
Year 2/Semester 3/1. Probability/Dependent probability example 2 _ Probability and Statistics _ Khan Academy-7BkcNLOf56w.mkv_0.jpg 5.0 kB
Year 2/Semester 3/1. Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy-Jkr4FSrNEVY.mkv_1.jpg 5.0 kB
Year 2/Semester 3/1. Probability/Probability (part 8)-VVr8snbaxZg.mkv_0.jpg 5.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scrum Development Model-Txz-Tnm_aSM.mkv_0.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.1 Sigma Notation-9a96ChQreSs.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.2 The Concept of Area-AEW-9gw4Ocs.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.3 The Approximate Area of a Plane Region-y0ZmzMQnK6A.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.4 Finding Area By The Limit Definition-yLMDOV9EXWY.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.1 Evaluating Limits Using Properties of Limits-2hwdlWPoaUE.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing-44-RJEdGjC4.mkv_2.jpg 5.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem-5MaW99om2v4.mkv_2.jpg 5.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/15. Fourier Series-N0CVIoVQkmc.mkv_1.jpg 4.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 1 ObjectOrientedProgramming-Bc3UUHocxt0.mkv_1.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.2 Determine Vertical Asymptotes-OtBj-vTtNME.mkv_2.jpg 4.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Evolution Laws-zNroF_WeIB0.mkv_1.jpg 4.9 kB
Year 2/Semester 3/1. Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy-AOsWph2FNLw.mkv_2.jpg 4.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known.-VywV9XcA9IE.mkv_2.jpg 4.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cyclomatic Complexity Measures-ihkUVzUzztY.mkv_0.jpg 4.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-CkOPbj5KhP8.mkv_1.jpg 4.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation-dRIhrn8cc9w.mkv_2.jpg 4.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 12 - Backprop & Improving Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-zUazLXZZA2U.mkv_2.jpg 4.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.2 - Introduction to Probability-_EpXHuPnaK0.mkv_2.jpg 4.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 19-R9mT5CtdHLg.mkv_0.jpg 4.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3-ViO56ASqeks.mkv_0.jpg 4.9 kB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.mp4_1.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.1 The Fundamental Theorem of Calculus-3u-8LNMiHbA.mkv_2.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.2 The Mean Value Theorem for Integrals-NXXVUeW31Qg.mkv_2.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.3 The Average Value of a Function-PjSGp4XsY0E.mkv_2.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.4 The Second Fundamental Theorem of Calculus-HwBskK0WbJs.mkv_2.jpg 4.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 2-3_o0-zPRQqw.mkv_0.jpg 4.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Documentation-ApqnZIWPw7s.mkv_0.jpg 4.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 8 leftRightRotate-4I_vnGpS-Io.mkv_3.jpg 4.9 kB
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Year 1/Semester 2/4. Computer System Architecture/Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-isBEVkIjgGA.mkv_0.jpg 4.9 kB
Year 2/Semester 3/1. Probability/Poisson process 1 _ Probability and Statistics _ Khan Academy-3z-M6sbGIZ0.mkv_1.jpg 4.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12a - Neural Nets-uXt8qF2Zzfo.mkv_1.jpg 4.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu-2Sa55D_Ve4U.mkv_1.jpg 4.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 9 Quick Sort Worst Case-auclbmnm4iA.mkv_3.jpg 4.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/2. Reasoning - Goal Trees and Problem Solving-PNKj529yY5c.mkv_0.jpg 4.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/14. Causal Inference, Part 1-gRkUhg9Wb-I.mkv_1.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.2 Change of Variables for Indefinite Integrals-UBh35F_4tnU.mkv_2.jpg 4.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 15-U7158Q-2rJc.mkv_1.jpg 4.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 1-0JUN9aDxVmI.mkv_0.jpg 4.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/19. Architectures - GPS, SOAR, Subsumption, Society of Mind-PimSbFGrwXM.mkv_1.jpg 4.9 kB
Year 3/Semester 6/3. Practical Implementation of Neural Networks/TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial-tPYj3fFJGjk.mp4_1.jpg 4.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.2 Recurrence Relations-QaAQ-bKCUME.mkv_3.jpg 4.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine-3ibCta5SH7Q.mkv_2.jpg 4.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.4.1 Recursive Algorithms-d5Ru22xhqJU.mkv_3.jpg 4.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4-27FPv1VHSsQ.mkv_1.jpg 4.9 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-nH4rn3X8i0c.mkv_2.jpg 4.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1-gT4F3HGYXf4.mkv_2.jpg 4.9 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/15. Gene Regulatory Networks-So6MK_FcP4E.mkv_2.jpg 4.9 kB
Year 4/Semester 7/5. Robotics/Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009-9qnpQ1hVlqw.mkv_2.jpg 4.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.2 Structural Induction-m1f0k-sDPG4.mkv_3.jpg 4.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/16. Reinforcement Learning, Part 1-YZ5pOgY5hEE.mkv_2.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.2 Continuity on Closed Intervals-BDMzVx2LV-0.mkv_2.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.3 Properties of Continuity-niSjuhVjb6k.mkv_2.jpg 4.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.4 The Intermediate Value Theorem-Dyvle5Cgw3g.mkv_2.jpg 4.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Quality Attributes-TT_rUCMTmhg.mkv_0.jpg 4.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-zLP_X4wyHbY.mkv_0.jpg 4.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses-kEMJRjEdNzM.mkv_1.jpg 4.9 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 2-FI8xtVaI068.mkv_1.jpg 4.9 kB
Year 2/Semester 3/1. Probability/Exactly three heads in five flips _ Probability and Statistics _ Khan Academy-udG9KhNMKJw.mkv_1.jpg 4.9 kB
Year 2/Semester 3/1. Probability/Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy-W7DmsJKLoxc.mkv_0.jpg 4.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Function Oriented Design-63dQN4yN9eY.mkv_0.jpg 4.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 17 resize-AA0KuKV3ARU.mkv_1.jpg 4.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Types of Maintenance-nA4ev7jM6ek.mkv_0.jpg 4.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.3 Constructing New Logical Equivalences-u5y1zte2w_4.mkv_2.jpg 4.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals-zispJVm5Rdo.mkv_2.jpg 4.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley)-uvE_HeNHTzI.mkv_0.jpg 4.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 16 – Coreference Resolution-i19m4GzBhfc.mkv_2.jpg 4.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-dKXbONPqBNY.mkv_0.jpg 4.8 kB
Year 4/Semester 7/5. Robotics/Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009-ufM3HLTZ47k.mkv_2.jpg 4.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/20. Applications of Fourier Transforms-tp_MdKz3fC8.mkv_0.jpg 4.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search-vDF1BYWhqL8.mkv_2.jpg 4.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.1 A Preview of Calculus-8NIsIW5nf4Y.mkv_2.jpg 4.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2-Ge65ukmJTzQ.mkv_0.jpg 4.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Maintenance Activities-X5cBc9z_Ibs.mkv_0.jpg 4.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World-E3f2Camj0Is.mkv_2.jpg 4.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/12. Machine Learning for Pathology-PKCMH5KOcxQ.mkv_1.jpg 4.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion-Le8qzbDhunE.mkv_2.jpg 4.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/24. Modulation, Part 2-OfMhtibbVXU.mkv_1.jpg 4.8 kB
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Year 4/Semester 7/2. Natural Language Understanding/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-M_VPUF9ResU.mkv_2.jpg 4.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley)-eG_d-rGt-Z8.mkv_1.jpg 4.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-X6DZchnMYcw.mkv_1.jpg 4.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/19. Disease Progression Modeling and Subtyping, Part 2-aJqgO8e37_g.mkv_1.jpg 4.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/18. Representations - Classes, Trajectories, Transitions-bQI0OmJPby4.mkv_0.jpg 4.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 13 - Spanner-4eW5SWBi7vs.mkv_3.jpg 4.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 8 Open Addressing-yA8bDfWj0UU.mkv_2.jpg 4.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/23. Fairness-zYgkr0KfWM0.mkv_2.jpg 4.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-qJmTZwzf1L4.mkv_0.jpg 4.8 kB
Year 2/Semester 3/1. Probability/Probability (part 2)-6E_NVnboMB8.mkv_0.jpg 4.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/White Box Testing-qOKPHpXuEvY.mkv_0.jpg 4.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 16 - Independent Component Analysis & RL _ Stanford CS229 - Machine Learning (Autumn 2018)-YQA9lLdLig8.mkv_1.jpg 4.8 kB
Year 2/Semester 3/1. Probability/Probability (part 6)-xf3vfczoCho.mkv_0.jpg 4.8 kB
Year 1/Semester 2/4. Computer System Architecture/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-5Oi7tvYE7fI.mkv_2.jpg 4.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Graphical User Interface-O2xzkCgV0PY.mkv_0.jpg 4.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 6-gxp_FrgTkQI.mkv_1.jpg 4.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/13. Continuous-Time (CT) Feedback and Control, Part 2-gxgV_oOG7Zc.mkv_0.jpg 4.8 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Engineering-pi2nP3rXZ3k.mkv_1.jpg 4.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 2 - RPC and Threads-gA4YXUJX7t8.mkv_1.jpg 4.7 kB
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Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning-gOV8-bC1_KU.mkv_2.jpg 4.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.1 Rules of Inference for Propositional Logic-oasIqX74Mhc.mkv_2.jpg 4.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 2 Nodes-91aebuLdWok.mkv_3.jpg 4.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.1 The Alternating Series Test-cgxK4PH1XMY.mkv_3.jpg 4.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Requirement Elicitation Techniques-1UEzc2E71Hk.mkv_0.jpg 4.7 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 13-VuM1WnwEMRQ.mkv_0.jpg 4.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.1 Continuity on Open Intervals-Niw3wBg6RPE.mkv_2.jpg 4.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations-kjC_kVBxQA0.mkv_1.jpg 4.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/3. Deep Dive Into Clinical Data-0UFwGJe6ubg.mkv_0.jpg 4.7 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning-zPU1SRHuAW8.mkv_2.jpg 4.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Cohesion and Coupling-bKYlMcyuvcM.mkv_0.jpg 4.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 19 - Reward Model & Linear Dynamical System _ Stanford CS229 - Machine Learning (Autumn 2018)-0rt2CsEQv6U.mkv_1.jpg 4.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/7. Natural Language Processing (NLP), Part 1-IiD3YZkkCmE.mkv_1.jpg 4.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-r9HbMrb98CQ.mkv_1.jpg 4.7 kB
Year 2/Semester 3/1. Probability/Addition rule for probability _ Probability and Statistics _ Khan Academy-QE2uR6Z-NcU.mkv_1.jpg 4.7 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/11. Continuous-Time (CT) Frequency Response and Bode Plot-2X7o37pfdp8.mkv_0.jpg 4.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 18 - Continous State MDP & Model Simulation _ Stanford CS229 - Machine Learning (Autumn 2018)-QFu5nuc-S0s.mkv_1.jpg 4.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.1 Determine Infinite Limits-w8QAIecvMnU.mkv_2.jpg 4.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Programming Style-9T7p-Sx7G-Y.mkv_0.jpg 4.7 kB
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Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 3 - GFS-EpIgvowZr00.mkv_1.jpg 4.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set-4-FysvtxQEU.mkv_1.jpg 4.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals-ZWYnYH-NnzY.mkv_2.jpg 4.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.1 The Power Series L=0 or L=Inf-u5k5Iy9My7Q.mkv_3.jpg 4.7 kB
Year 2/Semester 3/1. Probability/Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy-obZzOq_wSCg.mkv_0.jpg 4.7 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I-8LEuyYXGQjU.mkv_2.jpg 4.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/11. Learning - Identification Trees, Disorder-SXBG3RGr_Rc.mkv_0.jpg 4.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.1 Verify Functions are Inverses of One Another-_wsnbo-DBUw.mkv_1.jpg 4.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.2 Determine Whether a Function Has An Inverse-xJUT0ckjWS0.mkv_1.jpg 4.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.3 Find the Inverse of a Function-jOElzjxX9DI.mkv_1.jpg 4.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.4 Find the Derivative of an Inverse of a Function-DDGoJaC1psg.mkv_1.jpg 4.7 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae-ZJeBDVMbhJE.mkv_1.jpg 4.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley)-EtkggozKpGQ.mkv_1.jpg 4.7 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 21-rfTt7k6Nv-I.mkv_0.jpg 4.7 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for Android (Coding TensorFlow)-JnhW5tQ_7Vo.mkv_0.jpg 4.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Scope of CASE Tools-iX6EntDbbYw.mkv_0.jpg 4.7 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.mp4_1.jpg 4.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/21. Probabilistic Inference I-A6Ud6oUCRak.mkv_0.jpg 4.7 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/System Calls-lhToWeuWWfw.mkv_0.jpg 4.7 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 4 - Perceptron & Generalized Linear Model _ Stanford CS229 - Machine Learning (Autumn 2018)-iZTeva0WSTQ.mkv_1.jpg 4.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.2 Finding Volume Using the Washer Method-gg3A4oJILLA.mkv_2.jpg 4.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 5 Autoboxing-PN-E2QkgY84.mkv_3.jpg 4.7 kB
Year 2/Semester 3/1. Probability/Probability using combinations _ Probability and Statistics _ Khan Academy-Xqfcy1rqMbI.mkv_1.jpg 4.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 7 Merge Sort Code-jr10xrAFSEg.mkv_3.jpg 4.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley)-XMcNhZZwlL4.mkv_0.jpg 4.6 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/5. Z Transform-iI-ejO9hczw.mkv_0.jpg 4.6 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 11 - Cache Consistency - Frangipani--pKNCjUhPjQ.mkv_0.jpg 4.6 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 20 - Blockstack-XvXK_vZ0BNw.mkv_1.jpg 4.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 6 recursive add-eg7wGS9ySYs.mkv_1.jpg 4.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations-OUQmx7GQwmY.mkv_2.jpg 4.6 kB
Year 2/Semester 3/1. Probability/Probability (part 3)-wBDOCvHYckE.mkv_1.jpg 4.6 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial-N5HgK1bTLOg.mkv_1.jpg 4.6 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-B2PPyATuSvs.mkv_1.jpg 4.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 3 Traversal-F2SksNIg0os.mkv_2.jpg 4.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/16. Learning - Support Vector Machines-_PwhiWxHK8o.mkv_0.jpg 4.6 kB
Year 4/Semester 7/5. Robotics/Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009-7la43dvoLh0.mkv_2.jpg 4.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation-buptHUzDKcE.mkv_2.jpg 4.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules-eGGTtAWlGoQ.mkv_2.jpg 4.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Requirements-8uk-2-mX53U.mkv_0.jpg 4.6 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 20 - RL Debugging and Diagnostics _ Stanford CS229 - Machine Learning (Autumn 2018)-pLhPQynL0tY.mkv_1.jpg 4.6 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/11. RNA Secondary Structure; Biological Functions and Predictions-kUN6rJ21Hno.mkv_0.jpg 4.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/11. Differential Diagnosis-VuKOW8d4KHw.mkv_1.jpg 4.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.3 Zero-One Matrices-EkW2QsKyddM.mkv_3.jpg 4.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs-iWea12EAu6U.mkv_1.jpg 4.6 kB
Year 3/Semester 6/1. Non-relational Databases/MongoDB In 30 Minutes-pWbMrx5rVBE.mkv_1.jpg 4.6 kB
Year 4/Semester 7/5. Robotics/Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009-Bhbk4bWV1Uc.mkv_1.jpg 4.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 2 Nodes and Size-Dfu7PeZ3v2Q.mkv_1.jpg 4.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 7 left rotate-fpESZSHrsp0.mkv_1.jpg 4.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.1 The Natural Exponential Function-Z7tgZdizM7M.mkv_1.jpg 4.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.2 Derivatives of the Natural Exponential Function-g3e04zUBHWU.mkv_1.jpg 4.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.3 Integrals of the Natural Exponential Function-z740Ovp-3xA.mkv_1.jpg 4.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-JfjT1a0vi4E.mkv_0.jpg 4.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.1 Operations on Sets-ceQmwJ0xGrQ.mkv_3.jpg 4.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal-UJrrXUkQyCc.mkv_1.jpg 4.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley)-3hfL3ckFAfo.mkv_0.jpg 4.6 kB
Year 4/Semester 7/5. Robotics/Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009-KNRMz9YPCOY.mkv_1.jpg 4.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors-8rXD5-xhemo.mkv_1.jpg 4.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-oGwvMk5re3Y.mkv_2.jpg 4.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 1 Introduction-uW8-HkmNq4Q.mkv_2.jpg 4.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 11 Coding Rotations-Y-nmgO8ALjM.mkv_1.jpg 4.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 25-M42rQM0vC4g.mkv_1.jpg 4.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution.-w__TNyXH_xA.mkv_1.jpg 4.6 kB
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Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 18 - Fork Consistency, Certificate Transparency-UKdLJ7-0iFM.mkv_1.jpg 4.6 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/8. Constraints - Search, Domain Reduction-d1KyYyLmGpA.mkv_0.jpg 4.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation-yLYHDSv-288.mkv_1.jpg 4.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 12-2Gl-yNso0_0.mkv_1.jpg 4.6 kB
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Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 12 – Subword Models-9oTHFx0Gg3Q.mkv_1.jpg 4.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 5-rLMikQTOVnI.mkv_0.jpg 4.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review-o_i5F1zGPLs.mkv_2.jpg 4.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.3 Use The Power Series for Elementary Functions-IuHV7eAPdUg.mkv_2.jpg 4.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/User Interface Requirements-ryFB-Tl3ZEk.mkv_0.jpg 4.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019-C5bdflsg7rs.mkv_2.jpg 4.6 kB
Year 2/Semester 3/1. Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy-NSSoMafbBqQ.mkv_1.jpg 4.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion-0TyAhELFA90.mkv_2.jpg 4.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Characteristics of Good Software-ehuYDUUuRio.mkv_1.jpg 4.6 kB
Year 2/Semester 3/4. Intro to Client-side development/Learn JavaScript - Full Course for Beginners-PkZNo7MFNFg.mp4_1.jpg 4.6 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Critical Path Analysis-6e_GCocYNv8.mkv_0.jpg 4.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 3-WqBc0ZCU4Uw.mkv_0.jpg 4.6 kB
Year 4/Semester 7/5. Robotics/Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009-Gho0bmTsnA4.mkv_1.jpg 4.6 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Big Bang Model-uij0JPt4YzI.mkv_1.jpg 4.6 kB
Year 3/Semester 6/1. Non-relational Databases/An Introduction To NoSQL Databases-uD3p_rZPBUQ.mkv_0.jpg 4.6 kB
Year 2/Semester 3/1. Probability/Probability (part 4)-W581OBM9rAY.mkv_0.jpg 4.6 kB
Year 4/Semester 7/4. Computer Vision/OpenCV Course - Full Tutorial with Python-oXlwWbU8l2o.mkv_0.jpg 4.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws-aXobNQArW64.mkv_1.jpg 4.5 kB
Year 2/Semester 3/1. Probability/Finding probability example 2 _ Probability and Statistics _ Khan Academy-mLE-SlOZToc.mkv_1.jpg 4.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties-XE1WlvE1Iig.mkv_3.jpg 4.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.1 Inverse Trigonometric Functions-uLP9F1-05Kw.mkv_1.jpg 4.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions-g2jx2vAAie0.mkv_1.jpg 4.5 kB
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Year 2/Semester 3/2. Statistics/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode-NGGkOa35Sm8.mkv_2.jpg 4.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.4 Summation Properties and Formulas-Zi2sLtCO44A.mkv_2.jpg 4.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.1 The Log Rule for Integration-OPb0EuFmBOU.mkv_1.jpg 4.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.2 Integrals of Trigonometric Functions-GYl2waBxN1g.mkv_1.jpg 4.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 11 - Introduction to Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-MfIjxPh6Pys.mkv_0.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 18 - Associative Containers & Container Adapters-IaTzi_bsuJU.mkv_0.jpg 4.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/9. Constraints - Visual Object Recognition-gvmfbePC2pc.mkv_0.jpg 4.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Object Oriented Design-JK6LYUSGnWo.mkv_0.jpg 4.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/9. Translating Technology Into the Clinic-ZQu2B3GyI_k.mkv_2.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 13 - Advanced Functions-TGOXttOoI0U.mkv_0.jpg 4.5 kB
Year 2/Semester 3/1. Probability/Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy-uzkc-qNVoOk.mkv_1.jpg 4.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 2 Complete and Full-Lta807sEOQY.mkv_2.jpg 4.5 kB
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Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal-tvsArHvVRPw.mkv_1.jpg 4.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing-nC9_RfjYwqA.mkv_2.jpg 4.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees and heaps 1 Introduction-lhTCSGRAlXI.mkv_2.jpg 4.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.1 General and Particular Solutions to Differential Equations-564pn3CaoyQ.mkv_1.jpg 4.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 20-TdTFYVjzs1I.mkv_0.jpg 4.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 20 – Future of NLP + Deep Learning-3wWZBGN-iX8.mkv_2.jpg 4.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.1 Properties of the Natural Logarithmic Function-WhN2Ps2ggQw.mkv_1.jpg 4.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.2 The Number e-N7Z-k6E47KY.mkv_1.jpg 4.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.3 The Derivative of the Natural Logarithmic Function-ZWnFz0dQVmc.mkv_1.jpg 4.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.1 Prime Numbers and Their Properties-uuoxgAAikH4.mkv_2.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 10 - Object Oriented Programming-ZOKLjJF54Xc.mkv_0.jpg 4.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.4.1 First Order Linear Differential Equations--N0cJkC64-E.mkv_2.jpg 4.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 4 - Add methods-p8TSYkDz0eI.mkv_3.jpg 4.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Spiral Model-z8CqlcPjmGE.mkv_1.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 16 - C++ Threads-IdwJdJw65tU.mkv_0.jpg 4.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score--Lj6SvaVGr4.mkv_1.jpg 4.5 kB
Year 2/Semester 3/1. Probability/Expected Value - E(X)-j__Kredt7vY.mkv_0.jpg 4.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Metrics and Measures-bnydxXPN_rI.mkv_0.jpg 4.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/24. Robustness to Dataset Shift-VpfAWhLBjQY.mkv_1.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 14 - Templates & Iterators-ywNZAebgEZw.mkv_0.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 19 - C++ Regular Expressions-9K4N6MO_R1Y.mkv_0.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 11 - Polymorphism-k7O7AGfDI2c.mkv_0.jpg 4.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement-z6dtF1eJ3m4.mkv_1.jpg 4.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.2 Proofs of Existence And Uniqueness-uNbt-ABKpj4.mkv_2.jpg 4.5 kB
Year 2/Semester 3/1. Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy-9G0w61pZPig.mkv_1.jpg 4.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/6. Physiological Time-Series-lLhfDSOwWtU.mkv_1.jpg 4.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables-shrTfDUB9Hk.mkv_2.jpg 4.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 4 recursive add for an AVL tree-vYkgmdzhBoI.mkv_2.jpg 4.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 7-LbX51mey3vo.mkv_1.jpg 4.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/25. Interpretability-wDLzLN1tArA.mkv_0.jpg 4.5 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/13. Learning - Genetic Algorithms-kHyNqSnzP8Y.mkv_1.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 20 - C++ Regex 2-NPccLyAHD6Y.mkv_0.jpg 4.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.4.2 The Limit Comparison Test-vrdEFULYkL8.mkv_3.jpg 4.5 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tpQPN01i3GA.mkv_0.jpg 4.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Manager-kXuzVl1Eo-E.mkv_1.jpg 4.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley)-h1Ygos9lDfE.mkv_1.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 15 - Smart Pointers & Polymorphic Templates-q_LUYLV3l44.mkv_0.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 21 - C++ Regex 3-tsR2rNTX3D0.mkv_0.jpg 4.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 6 - Support Vector Machines _ Stanford CS229 - Machine Learning (Autumn 2018)-lDwow4aOrtg.mkv_1.jpg 4.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/22. Sampling and Quantization-bJvv5SckGeA.mkv_0.jpg 4.5 kB
Year 4/Semester 7/5. Robotics/Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009-EqAYRo4wXxY.mkv_1.jpg 4.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution-4Ew60JEPGUk.mkv_1.jpg 4.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Modularization-dah74-XZVXc.mkv_0.jpg 4.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 4-edOWKZE1t84.mkv_1.jpg 4.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.1 Nested Quantifiers and Negations-Jth7m3j8uGA.mkv_2.jpg 4.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Engineering Basics-4b1D1QFEel0.mkv_1.jpg 4.5 kB
Year 4/Semester 7/3. Intelligent Mobile Applications/TensorFlow Lite for iOS (Coding TensorFlow)-0SBtAjUauOc.mkv_0.jpg 4.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 6 The Rotate method-IuG3WSaDumc.mkv_2.jpg 4.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley)-DRGr3tFtHiQ.mkv_1.jpg 4.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 14 – Transformers and Self-Attention-5vcj8kSwBCY.mkv_1.jpg 4.5 kB
Year 2/Semester 3/1. Probability/Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy-8TIben0bJpU.mkv_0.jpg 4.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.3 Summations and Sigma Notation-w9zIex42wnY.mkv_2.jpg 4.5 kB
Year 3/Semester 5/4. Client-side development with React/Learn React JS - Full Course for Beginners - Tutorial 2019-DLX62G4lc44.mp4_1.jpg 4.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 11 Iterators-bx0ebSGUKto.mkv_1.jpg 4.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Component Reusability-dapI52aXDLo.mkv_0.jpg 4.5 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions-2mIERXU7wWY.mkv_0.jpg 4.5 kB
Year 1/Semester 2/4. Computer System Architecture/Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu-y94DjKHPYVk.mkv_0.jpg 4.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.4 Algorithms for Integer Operations-u1lbOzWb6X4.mkv_2.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 12 - Operator Overloading & File I_O-gc7Eqba1c5g.mkv_0.jpg 4.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-RBgeCCW5Hjs.mkv_1.jpg 4.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley)-DaOLlnOV0s0.mkv_1.jpg 4.4 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/12. Continuous-Time (CT) Feedback and Control, Part 1-5w2BvCPuYY0.mkv_0.jpg 4.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Configuration Management-nDp6uBFHfQU.mkv_0.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 3 - Pointers & Functions-7pLldfZunJI.mkv_0.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 8 remove and find-xo9_PkC5Ml0.mkv_0.jpg 4.4 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R5. Support Vector Machines-6nDqY8MPLDM.mkv_0.jpg 4.4 kB
Year 3/Semester 5/2. Web Application Development/Python Django Web Framework - Full Course for Beginners-F5mRW0jo-U4.mkv_1.jpg 4.4 kB
Year 2/Semester 3/1. Probability/Poisson process 1 _ Probability and Statistics _ Khan Academy-3z-M6sbGIZ0.mkv_0.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 17 - Sequence Containers-KJWOm1bXUxM.mkv_0.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 10 Rotations-NczBLeco6XA.mkv_2.jpg 4.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Testing Documentation-LO9Hs09BbZQ.mkv_0.jpg 4.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 13 - Debugging ML Models and Error Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-ORrStCArmP4.mkv_0.jpg 4.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.1 Finding Volume Using the Shell Method-X8lAi5ze8Z8.mkv_2.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 12 Double Linked Lists-v8xyoI11PsU.mkv_1.jpg 4.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions-hWEZsyF3ZZc.mkv_1.jpg 4.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.1 Exponential Functions with Bases Other than e-nEQ7bWzMUn8.mkv_1.jpg 4.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.2 Differentiate and Integrate with Bases Other than e-ZWZkVPQFZ9Y.mkv_1.jpg 4.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.3 Applications of Bases Other than e-XacAqmeVBuI.mkv_1.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 9 - Lambda Expressions-482weZjwVHY.mkv_0.jpg 4.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Tutorix Simply Easy Learning Steps-1iJn6quPp50.mkv_0.jpg 4.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 18-kqt1YV9dEoE.mkv_0.jpg 4.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Black Box Testing-5KQQtXGBBiA.mkv_0.jpg 4.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Re engineering-UXERB3xFgc4.mkv_0.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 6 Make an integer positive-1JZMb3D75PY.mkv_2.jpg 4.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Communication Management-0q-ZVshvypU.mkv_0.jpg 4.4 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 8 - Zookeeper-pbmyrNjzdDk.mkv_0.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops-tT8ICXAO_-4.mkv_0.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 6 - Solving Problems-VPT9jXt3GC0.mkv_0.jpg 4.4 kB
Year 2/Semester 3/1. Probability/Probability density functions _ Probability and Statistics _ Khan Academy-Fvi9A_tEmXQ.mkv_1.jpg 4.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere)-uxieCe3otPM.mkv_2.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 5 Compressing numbers to fit the size of the array--ftpXclGT4c.mkv_3.jpg 4.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/22. Regulation of Machine Learning _ Artificial Intelligence in the US-k95abdkdCPk.mkv_1.jpg 4.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 6.1.1 Counting Rules-32MnjUdIF0c.mkv_3.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 3 Insertion Sort-eTvQIbB-AuE.mkv_2.jpg 4.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 11-vnS9_NKoEKI.mkv_1.jpg 4.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-QKdiZSfwg-g.mkv_0.jpg 4.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.1 Finding Volume Using the Disk Method-mKcQS5zoqDc.mkv_2.jpg 4.4 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 1 - Introduction-cQP8WApzIQQ.mkv_2.jpg 4.4 kB
Year 4/Semester 7/5. Robotics/Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009-7nnFGxqRwNE.mkv_2.jpg 4.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.2 Models of Exponential Growth and Decay-x-FAnx9-W8g.mkv_2.jpg 4.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects-fyqm8fRDgl0.mkv_1.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Trees 2 Example of building a tree-v6eDztNiJwo.mkv_3.jpg 4.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II-E-_ecpD5PkE.mkv_2.jpg 4.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Maintenance Overview-ZsSPBsl1Ld8.mkv_0.jpg 4.4 kB
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Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 22-HFqO_8Eoc1U.mkv_0.jpg 4.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 23-nDLe6_sPSfs.mkv_1.jpg 4.4 kB
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Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 5 - Strings & Math-xxMG5HwCK6w.mkv_0.jpg 4.4 kB
Year 2/Semester 3/1. Probability/Probability without equally likely events _ Probability and Statistics _ Khan Academy-RI874OSJp1U.mkv_1.jpg 4.4 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management Activities-eOTcPOvT-H4.mkv_1.jpg 4.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP-EAJoRA0KX7I.mkv_1.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL 1 Introduction--9sHvAnLN_w.mkv_2.jpg 4.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.2 The Root Test-z85YBJUiu9s.mkv_1.jpg 4.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence-ToEWg269oV0.mkv_1.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Install C++ & NetBeans-DamuE8TM3xo.mkv_0.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 7 complete example of adding data to an AVL tree.-7m94k2Qhg68.mkv_1.jpg 4.4 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Virtual Memory _ Chapter-9 _ Operating System-rZIVS3eUDrw.mkv_0.jpg 4.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 2 Selection Sort-fgYlVyrt1vE.mkv_2.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 4 - Exception Handling & Looping-HD72quXVuE4.mkv_0.jpg 4.4 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 16-4A5LiJpPDRw.mkv_0.jpg 4.4 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 16 - Cache Consistency - Memcached at Facebook-Myp8z0ybdzM.mkv_2.jpg 4.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.2 Translating with Nested Quantifiers-8ws-MMeDOSE.mkv_2.jpg 4.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.1 Indeterminate Forms-sGGFLgaZLns.mkv_1.jpg 4.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.2 L’Hôpital’s Rule-7tgJB7aw-kg.mkv_1.jpg 4.4 kB
Year 2/Semester 3/1. Probability/Expected value of binomial distribution _ Probability and Statistics _ Khan Academy-SqcxYnNlI3Y.mkv_1.jpg 4.4 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate-cgaFm9TJ_zg.mkv_1.jpg 4.4 kB
Year 1/Semester 2/5. Introduction to Web Design (HTML + CSS)/CSS Crash Course For Absolute Beginners-yfoY53QXEnI.mkv_0.jpg 4.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples-zEdovJYAGwU.mkv_1.jpg 4.4 kB
Year 4/Semester 7/5. Robotics/Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009-ja56bJ8ogUw.mkv_2.jpg 4.4 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial 7 - Solving Problems-EKKOi4E7pm0.mkv_0.jpg 4.4 kB
Year 2/Semester 3/1. Probability/Law of large numbers _ Probability and Statistics _ Khan Academy-VpuN8vCQ--M.mkv_0.jpg 4.4 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley)-3Hsp5vtQeP0.mkv_0.jpg 4.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.1 Plane Curves and Parametric Equations-CK8pTQoav3g.mkv_2.jpg 4.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley)-kXmKxtXEXyQ.mkv_0.jpg 4.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Rapid Application Development (RAD)-yngKRepAgSg.mkv_1.jpg 4.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 12 Review of the hash element inner class-NVqY9oDz7RU.mkv_2.jpg 4.3 kB
Year 4/Semester 7/5. Robotics/Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009-6v3Ln2ACtqI.mkv_2.jpg 4.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu-TUFins4z6o4.mkv_1.jpg 4.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 8 - Data Splits, Models & Cross-Validation _ Stanford CS229 - Machine Learning (Autumn 2018)-rjbkWSTjHzM.mkv_1.jpg 4.3 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro - Training a neural network to play a game with TensorFlow and Open AI-3zeg7H6cAJw.mkv_2.jpg 4.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.1 Integrate Inverse Trigonometric Functions-ofTzdKxMcOg.mkv_1.jpg 4.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.2 Integrate Using the Completing the Square Technique-YItr1wnGcAg.mkv_1.jpg 4.3 kB
Year 2/Semester 3/1. Probability/Combinations-bCxMhncR7PU.mkv_2.jpg 4.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/10. Markov and Hidden Markov Models of Genomic and Protein Features-d5NMrA2HkG4.mkv_0.jpg 4.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.1.2 Set Relationships-FySFFWUU0OQ.mkv_3.jpg 4.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections-zEKfcK6A_Rg.mkv_1.jpg 4.3 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III-Hg_uyWezMM0.mkv_2.jpg 4.3 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/4. Comparative Genomic Analysis of Gene Regulation-14m9MW-qMhg.mkv_0.jpg 4.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/10. Application of Machine Learning to Cardiac Imaging-MoEaRpLNo9A.mkv_1.jpg 4.3 kB
Year 2/Semester 3/1. Probability/Compound probability of independent events _ Probability and Statistics _ Khan Academy-xSc4oLA9e8o.mkv_0.jpg 4.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.1.1 Introduction to Sets-dZbbkoYcSOE.mkv_3.jpg 4.3 kB
Year 2/Semester 3/1. Probability/Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy-gyqodNhM3EU.mkv_0.jpg 4.3 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 14 - Optimistic Concurrency Control-Cw6Nj2evjSs.mkv_2.jpg 4.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 6 Merge Sort-qdv3i6X0PiQ.mkv_1.jpg 4.3 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/1. What Makes Healthcare Unique-vof7x8r_ZUA.mkv_2.jpg 4.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 4 Hash Functions for Strings-jtMwp0FqEcg.mkv_1.jpg 4.3 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Main Memory _ Chapter-8 _ Operating System-m7iXeDyFe4I.mkv_0.jpg 4.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities-OFU64V8rEDM.mkv_1.jpg 4.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Design-nzLvmyBgOfk.mkv_0.jpg 4.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/V Model-5jJ_PBX3XsE.mkv_0.jpg 4.3 kB
Year 2/Semester 3/1. Probability/Dependent probability example _ Probability and Statistics _ Khan Academy-xPUm5SUVzTE.mkv_1.jpg 4.3 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-O1Xh3H1uEYY.mkv_2.jpg 4.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals-rAxXcX_w5fE.mkv_0.jpg 4.3 kB
Year 2/Semester 3/1. Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy-mkyZ45KQYi4.mkv_1.jpg 4.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-2RhGMpY18zw.mkv_0.jpg 4.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown-3AkOjmtz0XU.mkv_1.jpg 4.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.1 Predicate Logic-aqQj-3bSv7k.mkv_3.jpg 4.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 10 - Decision Trees and Ensemble Methods _ Stanford CS229 - Machine Learning (Autumn 2018)-wr9gUr-eWdA.mkv_0.jpg 4.3 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/Qt Tutorial 3 - Qt Charts-MHn3ZTWcyXk.mkv_0.jpg 4.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 15 – Natural Language Generation-4uG1NMKNWCU.mkv_1.jpg 4.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-U8K13P6loyk.mkv_0.jpg 4.3 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-tXIO8JNwCi0.mkv_0.jpg 4.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 7 LoadFactor()-pMKUrv1NksA.mkv_3.jpg 4.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Waterfall Model-fN6JgY6BEFs.mkv_1.jpg 4.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-NpC39uS4K4o.mkv_2.jpg 4.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 13 Circular Linked Lists-7ELt4-z4YeI.mkv_1.jpg 4.3 kB
Year 2/Semester 3/1. Probability/Free throwing probability _ Probability and Statistics _ Khan Academy-iMqCSgqzmiQ.mkv_1.jpg 4.3 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction-FgzM3zpZ55o.mkv_2.jpg 4.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations-kBYt67NDToI.mkv_1.jpg 4.3 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Overview of Software Engineering-ITlyBV4ttts.mkv_0.jpg 4.3 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-jDHx2K9HxlM.mkv_0.jpg 4.3 kB
Year 1/Semester 2/4. Computer System Architecture/Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-cIhExOjdFPI.mkv_1.jpg 4.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'-a86Vj_7R2aQ.mkv_1.jpg 4.3 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial for Beginners-KJgsSFOSQv0.mkv_1.jpg 4.2 kB
Year 2/Semester 3/1. Probability/Probability (part 7)-BLcgeLALLnc.mkv_1.jpg 4.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka-JMUxmLyrhSk.mkv_0.jpg 4.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/5. Risk Stratification, Part 2-wqI_z1yumzY.mkv_1.jpg 4.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019-3UGti9Ju5j8.mkv_1.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.3 Related Rates - Modeling with Triangles-0Pm0vSLJOq0.mkv_2.jpg 4.2 kB
Year 4/Semester 7/5. Robotics/Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009-qtmmwILxVR4.mkv_1.jpg 4.2 kB
Year 4/Semester 7/5. Robotics/Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009-7LLUz7A1--Q.mkv_0.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle)-Oa2E7MbUThE.mkv_2.jpg 4.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-gQvaT_AU0Gg.mkv_0.jpg 4.2 kB
Year 3/Semester 5/1. Databases (SQL)/SQL Tutorial - Full Database Course for Beginners-HXV3zeQKqGY.mkv_1.jpg 4.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/2. Overview of Clinical Care-DS97JV_o0Fs.mkv_1.jpg 4.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Programming-qpUQpxpeixA.mkv_0.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 9 height-FOTgPZYYDyQ.mkv_2.jpg 4.2 kB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.mp4_0.jpg 4.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu-z0EknfZdlIs.mkv_1.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 3 Introduction to Generic Programming-_dy9JnEXekU.mkv_1.jpg 4.2 kB
Year 4/Semester 7/5. Robotics/Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009-g-VehRFsDcI.mkv_1.jpg 4.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley)-Vq4kd_jlnGk.mkv_0.jpg 4.2 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/Mega-R3. Games, Minimax, Alpha-Beta-hM2EAvMkhtk.mkv_0.jpg 4.2 kB
Year 2/Semester 3/1. Probability/Introduction to Random Variables-IYdiKeQ9xEI.mkv_2.jpg 4.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.2 Set Identities-ReV1lwBw_lc.mkv_3.jpg 4.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 5 - GDA & Naive Bayes _ Stanford CS229 - Machine Learning (Autumn 2018)-nt63k3bfXS0.mkv_1.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 1 Introduction and Tree levels-BzQGPA_v-vc.mkv_2.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 10 number of black nodes-ikvNJkKJr_o.mkv_3.jpg 4.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/25. Audio CD-t2hNMFoIv8w.mkv_1.jpg 4.2 kB
Year 4/Semester 7/5. Robotics/Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009-4kB94UDwJ0M.mkv_1.jpg 4.2 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/17. Reinforcement Learning, Part 2-zdotUAxiPGM.mkv_0.jpg 4.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019-tZ_Jrc_nRJY.mkv_2.jpg 4.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.2 The Binomial Series-O-Oe9wIr1VQ.mkv_3.jpg 4.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.1 Revisiting Recursive Definitions-j-7BQ6V5ZPo.mkv_2.jpg 4.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.2 Matrix Operations on your TI-84-Hfdo5DGS2jk.mkv_2.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.1 Intervals of Concavity-c7_MkBWojC4.mkv_1.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.2 Points of Inflection-QrxGozcFxXg.mkv_1.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.3 The Second Derivative Test-xIkm1CXpmL4.mkv_1.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.4 Putting It All Together-j-HND1gJCg4.mkv_1.jpg 4.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown.-onTQhD7osY4.mkv_1.jpg 4.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Structured Charts-vdUO-sGA1DA.mkv_0.jpg 4.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility-OP3l8VUEE-8.mkv_1.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.1 Optimization Problems-LnXewON-ifk.mkv_1.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.2 Optimization Practice-Q5CrW8yQo-0.mkv_1.jpg 4.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/E-Type Software Evolution--dCJi82Euco.mkv_0.jpg 4.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables-tj_98IO-lCk.mkv_1.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 5 HeapSort-LbB357_RwlY.mkv_1.jpg 4.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction-ljeQ1yNexIU.mkv_1.jpg 4.2 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-PhUo1IMo6UU.mkv_1.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 4 TrickleDown-jHZu1GV27tI.mkv_1.jpg 4.2 kB
Year 4/Semester 7/5. Robotics/Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009-QI09XKVW_8E.mkv_2.jpg 4.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Scheduling-SkQzQCAWf8M.mkv_0.jpg 4.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow-Vk5Iun6sxhM.mkv_3.jpg 4.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions-yFPwq0jlGt4.mkv_0.jpg 4.2 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial _ Learn C programming _ C language--CpG3oATGIs.mkv_1.jpg 4.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.1 Matrices and Matrix Operations-dLm1pglDFHA.mkv_2.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 2 Big Oh Notation-vsgrJrphEHo.mkv_2.jpg 4.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/21. Sampling-1El4znkRH0g.mkv_1.jpg 4.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 7 Contains-TNsfoKv8xvA.mkv_2.jpg 4.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.1 Rolle’s Theorem-m-XwUqPoCpA.mkv_1.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.2 The Mean Value Theorem-VYvS5kWS2tg.mkv_1.jpg 4.1 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12b - Deep Neural Nets-VrMHA3yX_QI.mkv_0.jpg 4.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Design Levels-K7npUb4czqg.mkv_0.jpg 4.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 17 - MDPs & Value_Policy Iteration _ Stanford CS229 - Machine Learning (Autumn 2018)-d5gaWTo6kDM.mkv_1.jpg 4.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 19 – Bias in AI-XR8YSRcuVLE.mkv_1.jpg 4.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 8-aHW6HKVC-SY.mkv_0.jpg 4.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 3 Some examples of big-Oh notation-66ovUEE0bQI.mkv_0.jpg 4.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.2.1 Integration by Parts-Ex8u3OhqllY.mkv_3.jpg 4.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.1 The Limit of a Sequence-dsjOpoGcs9Q.mkv_3.jpg 4.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 15 add() and remove() methods-wyxej4siMyI.mkv_2.jpg 4.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pO3Jsr31s_Q.mkv_2.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.1 Extrema of a Function on an Interval-toNQxJhXbmY.mkv_1.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.2 Relative Extrema of a Function on an Open Interval-a3uHiD94dkE.mkv_1.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.3 Find Extrema on a Closed Interval-yhEZ5qxBrLY.mkv_1.jpg 4.1 kB
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Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations-OyRzpScJuvE.mkv_1.jpg 4.1 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.2 The Geometric Series-OX-9dHs4u-Q.mkv_3.jpg 4.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 9 Introduction to rotations-M0Y3kDuyUCU.mkv_2.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.1 Increasing and Decreasing Intervals-oMWaVs5yxdo.mkv_1.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.2 The First Derivative Test-UFPZWLNIulo.mkv_1.jpg 4.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.2 Finding the Area Between Two Curves-xOvE4dzfcdU.mkv_2.jpg 4.1 kB
Year 2/Semester 3/1. Probability/Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy-PddbEVNMgTY.mkv_1.jpg 4.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Incremental Model-0r2yu-8RdEA.mkv_1.jpg 4.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Pseudo Code-Q6uewwnqRBk.mkv_0.jpg 4.1 kB
Year 3/Semester 6/3. Practical Implementation of Neural Networks/TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial-tPYj3fFJGjk.mp4_0.jpg 4.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 24-GAKpnKLnJtc.mkv_0.jpg 4.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 7 - Kernels _ Stanford CS229 - Machine Learning (Autumn 2018)-8NYoQiRANpg.mkv_1.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.1 A Summary of Curve Sketching-qE5wCY-Kxnk.mkv_1.jpg 4.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.2 Curve Sketching - Full Practice-hahDwDNirpc.mkv_1.jpg 4.1 kB
Year 2/Semester 3/1. Probability/Poisson process 2 _ Probability and Statistics _ Khan Academy-Jkr4FSrNEVY.mkv_0.jpg 4.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known-kv8u7yl6VQk.mkv_1.jpg 4.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 15 - EM Algorithm & Factor Analysis _ Stanford CS229 - Machine Learning (Autumn 2018)-tw6cmL5STuY.mkv_0.jpg 4.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse-zcm8plpCUZI.mkv_3.jpg 4.1 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/18. Discrete-Time (DT) Fourier Representations-3D51nqZ-97Q.mkv_1.jpg 4.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 18 – Constituency Parsing, TreeRNNs-6Z4A3RSf-HY.mkv_1.jpg 4.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/CASE Tools-_74Nra8h5Go.mkv_0.jpg 4.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration--mjWOV6Ye84.mkv_1.jpg 4.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals-XLbK4qxmuMk.mkv_1.jpg 4.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 2 Add Remove-7KhYwHfx40U.mkv_2.jpg 4.1 kB
Year 4/Semester 7/5. Robotics/Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009-CUygqWS7occ.mkv_1.jpg 4.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 14 Review of constructors-CQPy29vNa1M.mkv_1.jpg 4.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 5 Shell Sort-ddeLSDsYVp8.mkv_2.jpg 4.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.3 Monotonic and Bounded Sequences-AwAAM_zmge4.mkv_2.jpg 4.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley)-UnDajgiVmic.mkv_1.jpg 4.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention-XXtpJxZBa2c.mkv_1.jpg 4.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.1 Systems of Linear Equations-LHsPJ2bQX1U.mkv_3.jpg 4.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues-g4pC_MQagg8.mkv_3.jpg 4.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley)-LsRXYEc-yDM.mkv_0.jpg 4.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions-0ZioAyD2CO0.mkv_0.jpg 4.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-WQL2yMciD2M.mkv_0.jpg 4.1 kB
Year 2/Semester 4/1. Operating Systems/1. Operating System/Deadlocks _ Chapter-7 _ Operating System-KrbjE6IRrM4.mkv_0.jpg 4.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 17-PPCnYiTpbCo.mkv_0.jpg 4.1 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Estimation-IdBSLvoP6uY.mkv_0.jpg 4.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-6-4pJt1M18s.mkv_1.jpg 4.1 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley)-uVKyubtOWr0.mkv_0.jpg 4.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018)-jGwO_UgTS7I.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.1 Find the Slope of a Tangent Line-zCxbsCbgAKo.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.2 Derivatives Using the Limit Definition--Agj1BVzQ8U.mkv_1.jpg 4.0 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.1 Finding Arc Length-NL7RrQ40y5A.mkv_3.jpg 4.0 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.2 Introduction to Linear Transformations-ofAcvZVEfBk.mkv_3.jpg 4.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 17 – Multitask Learning-M8dsZsEtEsg.mkv_1.jpg 4.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4-HCBX2cuA5UU.mkv_1.jpg 4.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.2 Rules of Inference for Quantified Statements-zMtToQelLN8.mkv_1.jpg 4.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate-F1sIkFyteqE.mkv_1.jpg 4.0 kB
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Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Development Life Cycle-sARoc6GyCq8.mkv_0.jpg 4.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae-ZJeBDVMbhJE.mkv_0.jpg 4.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.2 Rank-1MYkWhpuLtY.mkv_3.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.1 Determine Finite Limits at Infinity-hJ1rhSj6-0I.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.2 Determine Horizontal Asymptotes of a Function-SkiSWGU7Guk.mkv_1.jpg 4.0 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.4 Determine Infinite Limits at Infinity-kMo0hLq__Zw.mkv_1.jpg 4.0 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.mp4_0.jpg 4.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample-MfkJu7J1LE4.mkv_1.jpg 4.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 2 - Linear Regression and Gradient Descent _ Stanford CS229 - Machine Learning (Autumn 2018)-4b4MUYve_U8.mkv_1.jpg 4.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 14 - Expectation-Maximization Algorithms _ Stanford CS229 - Machine Learning (Autumn 2018)-rVfZHWTwXSA.mkv_1.jpg 4.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.2 Pattern Recognition for Sequences-6YFWJBE3o9w.mkv_2.jpg 4.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse-bZ275aLiypo.mkv_1.jpg 4.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 2 ComparableGenerics-HtahYOYb7zM.mkv_0.jpg 4.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms-AbHn39y8eUo.mkv_1.jpg 4.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.1 Proof by Cases-dheuJkuSNyI.mkv_1.jpg 4.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 3 Adding a node-uTLiAbHH8xI.mkv_2.jpg 4.0 kB
Year 4/Semester 7/5. Robotics/Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009--fCLJ1pGht4.mkv_1.jpg 4.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.3 Inverse Functions and Composition of Functions-aQefXelCN5Y.mkv_1.jpg 4.0 kB
Year 4/Semester 7/5. Robotics/Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009-oWr1_LybOZI.mkv_2.jpg 4.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs-QEw0qEa0E50.mkv_1.jpg 4.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.2 - An Introduction to Hypothesis Testing-ev8cKdrdA4s.mkv_1.jpg 4.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.3 Negating and Translating with Quantifiers-8eCZ1suibCw.mkv_1.jpg 4.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation-D6EzBdAbT2Q.mkv_1.jpg 4.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 6 Rebalancing AVL trees-wn1tc5SAGZk.mkv_2.jpg 4.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation-lPe-rQA_afU.mkv_1.jpg 4.0 kB
Year 2/Semester 3/4. Intro to Client-side development/Learn JavaScript - Full Course for Beginners-PkZNo7MFNFg.mp4_0.jpg 4.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Bloom Filters-heEDL9usFgs.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.1 Implicit and Explicit Functions-I0JjW7JkiGk.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.2 Implicit Differentiation-e1wr8svxdeA.mkv_1.jpg 4.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4-27FPv1VHSsQ.mkv_0.jpg 4.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 7 removeLast()-VGlcF3VQ-Pg.mkv_0.jpg 4.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Resource Management-u3Y71H98AZU.mkv_0.jpg 4.0 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3-G-KvpNGudLw.mkv_1.jpg 4.0 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-NCUDEgLfC_I.mkv_2.jpg 4.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 11 the hash class-fJfzmZ6eKjY.mkv_2.jpg 4.0 kB
Year 4/Semester 7/5. Robotics/Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009-Z8oMbOj9IWM.mkv_1.jpg 4.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.1 Direct Proof-01b3KjgPhfI.mkv_2.jpg 4.0 kB
Year 4/Semester 7/5. Robotics/Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009-Bhbk4bWV1Uc.mkv_0.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.1 The Chain Rule-oCu6t8XGuQo.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.2 The General Power Rule-aXx8VaG3zFo.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.3 Simplifying Derivatives-ulDOTjVG4V8.mkv_1.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.4 Trigonometric Functions and the Chain Rule-h5NLTIA76nU.mkv_1.jpg 4.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.2 The Alternating Series Remainder-VIz5UHc0JGg.mkv_2.jpg 4.0 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Execution and Monitoring-dXYMZDaPkUE.mkv_1.jpg 4.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 9 peek()-GIE2XiztuXg.mkv_1.jpg 4.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose-RM24OPadFMA.mkv_3.jpg 4.0 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 18 - Continous State MDP & Model Simulation _ Stanford CS229 - Machine Learning (Autumn 2018)-QFu5nuc-S0s.mkv_0.jpg 4.0 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 4-H0ZgOGWUcJw.mkv_2.jpg 4.0 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/24. Modulation, Part 2-OfMhtibbVXU.mkv_0.jpg 4.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.2 Derivatives of Trigonometric Functions-ic3SMMxLoW8.mkv_1.jpg 3.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.3 Higher Order Derivatives-uEX4Ufm7AlY.mkv_1.jpg 3.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.2 The Logistic Differential Equation-Aw5fxCLXNco.mkv_2.jpg 3.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent-H6gIC1FF1b4.mkv_1.jpg 3.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning-RN8qpSs8ozY.mkv_1.jpg 3.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal-UJrrXUkQyCc.mkv_0.jpg 3.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/12. Machine Learning for Pathology-PKCMH5KOcxQ.mkv_0.jpg 3.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.4 Optimization Algorithms-MWaJuoFwyv8.mkv_2.jpg 3.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu-2Sa55D_Ve4U.mkv_0.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 1 ObjectOrientedProgramming-Bc3UUHocxt0.mkv_0.jpg 3.9 kB
Year 3/Semester 5/4. Client-side development with React/Learn React JS - Full Course for Beginners - Tutorial 2019-DLX62G4lc44.meta 3.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.3 Applications Involving the Area Between Two Curves-NksmQNMEZ3A.mkv_1.jpg 3.9 kB
Year 2/Semester 3/1. Probability/Exactly three heads in five flips _ Probability and Statistics _ Khan Academy-udG9KhNMKJw.mkv_0.jpg 3.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-b4Dl85FVSok.mkv_1.jpg 3.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.2 Rates of Change-xpSqZGYB5P0.mkv_1.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 6 recursive add-eg7wGS9ySYs.mkv_0.jpg 3.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.1 Represent Functions with the Geometric Power Series-JxZV7XLLFRg.mkv_1.jpg 3.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 7-LbX51mey3vo.mkv_0.jpg 3.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2-RVt4EN-XdPA.mkv_1.jpg 3.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Risk Management-SA5F_GIXbok.mkv_0.jpg 3.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation-WNgcmn5cXjI.mkv_1.jpg 3.9 kB
Year 2/Semester 3/1. Probability/Permutations-XqQTXW7XfYA.mkv_2.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 10 Quick Sort Code-4IE3wIXFVPc.mkv_2.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 18 KeyIterator-2LuVyqAC0ZA.mkv_1.jpg 3.9 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 15-U7158Q-2rJc.mkv_0.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 1 Introduction--EDUhPg6930.mkv_2.jpg 3.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math 1.2.1 - Translating Propositional Logic Statements-A2k3ulOJ3u4.mkv_1.jpg 3.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.3 The Euclidean Algorithm-5LhWIaWlprM.mkv_2.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 16 getValue()-jygDV6dwL74.mkv_2.jpg 3.9 kB
Year 2/Semester 3/1. Probability/Frequency stability property short film _ Computer Science _ Khan Academy-vVXbgbMp0oY.mkv_0.jpg 3.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion-iZRSKK0aepM.mkv_1.jpg 3.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Project Management-FCn0xVZQx3w.mkv_0.jpg 3.9 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 6 - Fault Tolerance - Raft (1)-64Zp3tzNbpE.mkv_1.jpg 3.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 16 - Independent Component Analysis & RL _ Stanford CS229 - Machine Learning (Autumn 2018)-YQA9lLdLig8.mkv_0.jpg 3.9 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/15. Fourier Series-N0CVIoVQkmc.mkv_0.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 6 Exceptions-i59ZamvhmaU.mkv_2.jpg 3.9 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley)-eG_d-rGt-Z8.mkv_0.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 4 Parameterized Types-DjJRWroA168.mkv_1.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 8 Remove-YeSPhuU-QtE.mkv_1.jpg 3.9 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/19. Disease Progression Modeling and Subtyping, Part 2-aJqgO8e37_g.mkv_0.jpg 3.9 kB
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Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses-kEMJRjEdNzM.mkv_0.jpg 3.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System-3NkxeDnLh4A.mkv_1.jpg 3.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-X6DZchnMYcw.mkv_0.jpg 3.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Need of Software Engineering-pi2nP3rXZ3k.mkv_0.jpg 3.9 kB
Year 3/Semester 6/1. Non-relational Databases/MongoDB In 30 Minutes-pWbMrx5rVBE.mkv_0.jpg 3.9 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-JXtH_ABQFX0.mkv_1.jpg 3.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code-vPqQSKsxH4k.mkv_1.jpg 3.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 2 Hash Functions-XYmI-T-JJso.mkv_1.jpg 3.9 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/19. Architectures - GPS, SOAR, Subsumption, Society of Mind-PimSbFGrwXM.mkv_0.jpg 3.9 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 4 - Primary-Backup Replication-M_teob23ZzY.mkv_1.jpg 3.9 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 13 – Contextual Word Embeddings-S-CspeZ8FHc.mkv_1.jpg 3.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.3 Introduction to Logic Circuits-iyHXkQIbOUI.mkv_2.jpg 3.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals-zispJVm5Rdo.mkv_1.jpg 3.9 kB
Year 2/Semester 3/1. Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy-AOsWph2FNLw.mkv_1.jpg 3.9 kB
Year 1/Semester 2/3. Introduction to C++ and Object-Oriented Programming/C++ Tutorial-N5HgK1bTLOg.mkv_0.jpg 3.9 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 7 - Fault Tolerance - Raft (2)-4r8Mz3MMivY.mkv_1.jpg 3.9 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019-YygGzfkhtJc.mkv_1.jpg 3.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal-tvsArHvVRPw.mkv_0.jpg 3.9 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 19 - Reward Model & Linear Dynamical System _ Stanford CS229 - Machine Learning (Autumn 2018)-0rt2CsEQv6U.mkv_0.jpg 3.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-CkOPbj5KhP8.mkv_0.jpg 3.9 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Evolution Laws-zNroF_WeIB0.mkv_0.jpg 3.9 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-P-mXr9adbCc.mkv_0.jpg 3.9 kB
Year 2/Semester 3/1. Probability/Addition rule for probability _ Probability and Statistics _ Khan Academy-QE2uR6Z-NcU.mkv_0.jpg 3.9 kB
Year 2/Semester 3/1. Probability/Probability using combinations _ Probability and Statistics _ Khan Academy-Xqfcy1rqMbI.mkv_0.jpg 3.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/14. Causal Inference, Part 1-gRkUhg9Wb-I.mkv_0.jpg 3.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/8. Natural Language Processing (NLP), Part 2-lkO2ocJBsmI.mkv_0.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 5 addLast()-Pka_xr87Krg.mkv_1.jpg 3.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples-dFc2XK9dyNs.mkv_3.jpg 3.8 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 2-FI8xtVaI068.mkv_0.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 9 Chaining-nVu_OnyGk6U.mkv_2.jpg 3.8 kB
Year 4/Semester 7/5. Robotics/Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009-89GQHKOeUcU.mkv_0.jpg 3.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-IYMYI9AJpQs.mkv_1.jpg 3.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score-JaVA-nXKVRI.mkv_1.jpg 3.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019-lzBB7xoZ3Q8.mkv_1.jpg 3.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 12 - Backprop & Improving Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-zUazLXZZA2U.mkv_1.jpg 3.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs-iWea12EAu6U.mkv_0.jpg 3.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 6-gxp_FrgTkQI.mkv_0.jpg 3.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 15 - Big Data - Spark-mzIoSW-cInA.mkv_1.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 2 Nodes and Size-Dfu7PeZ3v2Q.mkv_0.jpg 3.8 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley)-Pk1E3Iod7eQ.mkv_1.jpg 3.8 kB
Year 4/Semester 7/5. Robotics/Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009-E-sOMfDVe8o.mkv_1.jpg 3.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.1 An Introduction to Conic Sections-2g_1--LXlM4.mkv_2.jpg 3.8 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions-A3Ffwsnad0k.mkv_0.jpg 3.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.1 The Product and Quotient Rules-KPXIuZwQxts.mkv_1.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 4 addFirst()-yMoHuOZzMpk.mkv_2.jpg 3.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 9-KBVkri8k3Ao.mkv_1.jpg 3.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 12 - Distributed Transactions-aDp99WDIM_4.mkv_1.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 3 Collisions-YIoZQwWJIDA.mkv_1.jpg 3.8 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/12a - Neural Nets-uXt8qF2Zzfo.mkv_0.jpg 3.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 17 - COPS, Causal Consistency-fR_NB714EAI.mkv_1.jpg 3.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations-kjC_kVBxQA0.mkv_0.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Welcome to Data Structures-zgCnMvvw6Oo.mkv_2.jpg 3.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 16 – Coreference Resolution-i19m4GzBhfc.mkv_1.jpg 3.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 9 - Approx_Estimation Error & ERM _ Stanford CS229 - Machine Learning (Autumn 2018)-iVOxMcumR4A.mkv_0.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 5 checking violations in the tree-pJWAi6u7Nq4.mkv_1.jpg 3.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 26-DpxNW0T8CWg.mkv_1.jpg 3.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/23. Modulation, Part 1-OT04cEdpK-M.mkv_0.jpg 3.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.2 Finding Parametric Equations-SVRAgdtNTvQ.mkv_2.jpg 3.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks-8CWyBNX6eDo.mkv_1.jpg 3.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/20. Precision Medicine-kZrb6ZIwJqg.mkv_1.jpg 3.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II-jJ7JbQBTChM.mkv_0.jpg 3.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 4-edOWKZE1t84.mkv_0.jpg 3.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/7. Natural Language Processing (NLP), Part 1-IiD3YZkkCmE.mkv_0.jpg 3.8 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 20 - RL Debugging and Diagnostics _ Stanford CS229 - Machine Learning (Autumn 2018)-pLhPQynL0tY.mkv_0.jpg 3.8 kB
Year 4/Semester 7/5. Robotics/Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009-Gho0bmTsnA4.mkv_0.jpg 3.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics-9FtHB7V14Fo.mkv_1.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 3 TrickleUp-6i15PI_VP-E.mkv_0.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 4 Expression Trees-V9oTubnyb0Y.mkv_2.jpg 3.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set-4-FysvtxQEU.mkv_0.jpg 3.8 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/10. Feedback and Control-TeVSxZgIHAA.mkv_2.jpg 3.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019-WXLb4h2A724.mkv_2.jpg 3.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.1.1 Divisibility-Qzy6hHgyb1g.mkv_3.jpg 3.8 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 25-M42rQM0vC4g.mkv_0.jpg 3.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pip8h9vjTHY.mkv_1.jpg 3.8 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 19 - Bitcoin-K_euhRou98Y.mkv_1.jpg 3.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering-yIdF-17HwSk.mkv_1.jpg 3.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning-V7CY68zH6ps.mkv_1.jpg 3.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 1 The Rules-nMExd4DthdA.mkv_1.jpg 3.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 3 - GFS-EpIgvowZr00.mkv_0.jpg 3.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-r9HbMrb98CQ.mkv_0.jpg 3.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known.-VywV9XcA9IE.mkv_1.jpg 3.7 kB
Year 2/Semester 3/1. Probability/Birthday probability problem _ Probability and Statistics _ Khan Academy-9G0w61pZPig.mkv_0.jpg 3.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.1 Linearly Independent Sets and Bases-lOyFbpemz58.mkv_3.jpg 3.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/15. Causal Inference, Part 2-g5v-NvNoJQQ.mkv_1.jpg 3.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley)-EtkggozKpGQ.mkv_0.jpg 3.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/6. Physiological Time-Series-lLhfDSOwWtU.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.1 Basic Differentiation Rules-hbiX_8jPtB0.mkv_1.jpg 3.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 11 Coding Rotations-Y-nmgO8ALjM.mkv_0.jpg 3.7 kB
Year 3/Semester 5/1. Databases (SQL)/SQL Tutorial - Full Database Course for Beginners-HXV3zeQKqGY.mkv_0.jpg 3.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/16. Reinforcement Learning, Part 1-YZ5pOgY5hEE.mkv_1.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities-IXvUn9iR2wA.mkv_1.jpg 3.7 kB
Year 2/Semester 3/1. Probability/Finding probability example 2 _ Probability and Statistics _ Khan Academy-mLE-SlOZToc.mkv_0.jpg 3.7 kB
Year 2/Semester 3/1. Probability/Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy-NSSoMafbBqQ.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.1 The Fundamental Theorem of Calculus-3u-8LNMiHbA.mkv_1.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.2 The Mean Value Theorem for Integrals-NXXVUeW31Qg.mkv_1.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.3 The Average Value of a Function-PjSGp4XsY0E.mkv_1.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.4 The Second Fundamental Theorem of Calculus-HwBskK0WbJs.mkv_1.jpg 3.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.1 Inner Product, Vector Length and Distance-C2iKgnGby0I.mkv_3.jpg 3.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Characteristics of Good Software-ehuYDUUuRio.mkv_0.jpg 3.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions-hWEZsyF3ZZc.mkv_0.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion-0TyAhELFA90.mkv_1.jpg 3.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 11. Precise Exceptions, State Maintenance_Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu-nMfbtzWizDA.mkv_2.jpg 3.7 kB
Year 3/Semester 5/4. Client-side development with React/Learn React JS - Full Course for Beginners - Tutorial 2019-DLX62G4lc44.mp4_0.jpg 3.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.2 One to One and Onto Functions-plSzGYwo-ew.mkv_2.jpg 3.7 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 10-Jsg9TwLRTbM.mkv_1.jpg 3.7 kB
Year 2/Semester 4/2. Artificial Intelligence/Artificial Intelligence MIT/13. Learning - Genetic Algorithms-kHyNqSnzP8Y.mkv_0.jpg 3.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 17 resize-AA0KuKV3ARU.mkv_0.jpg 3.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.1 Eigenvectors and Eigenvalues-yh5ABTeNUpE.mkv_3.jpg 3.7 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019-7b2_3dDTKMc.mkv_1.jpg 3.7 kB
Year 4/Semester 7/5. Robotics/Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009-9qnpQ1hVlqw.mkv_1.jpg 3.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.3 Constructing New Logical Equivalences-u5y1zte2w_4.mkv_1.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.1 The Natural Exponential Function-Z7tgZdizM7M.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.2 Derivatives of the Natural Exponential Function-g3e04zUBHWU.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.4.3 Integrals of the Natural Exponential Function-z740Ovp-3xA.mkv_0.jpg 3.7 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.3 - The Addition Rule for Probability-mmWxtSx03JI.mkv_1.jpg 3.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 8 leftRightRotate-4I_vnGpS-Io.mkv_2.jpg 3.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.2 Proof by Contraposition-vMwejR0bqwo.mkv_1.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.2 The Root Test-z85YBJUiu9s.mkv_0.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence-ToEWg269oV0.mkv_0.jpg 3.7 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial for Beginners-KJgsSFOSQv0.mkv_0.jpg 3.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 18 - Fork Consistency, Certificate Transparency-UKdLJ7-0iFM.mkv_0.jpg 3.7 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 12 – Subword Models-9oTHFx0Gg3Q.mkv_0.jpg 3.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 20 - Blockstack-XvXK_vZ0BNw.mkv_0.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine-3ibCta5SH7Q.mkv_1.jpg 3.7 kB
Year 4/Semester 7/5. Robotics/Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009-ufM3HLTZ47k.mkv_1.jpg 3.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws-aXobNQArW64.mkv_0.jpg 3.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.3 Proof by Contradiction-b-kFWP9a2tw.mkv_1.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.3 The nth Term Test for Divergence-vhonH59Rxi8.mkv_2.jpg 3.7 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley)-h1Ygos9lDfE.mkv_0.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.2 Disk Method vs. Shell Method-fg01lNpUQMo.mkv_2.jpg 3.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.5.1 Work, Work, Work-yTca2zd9XkU.mkv_3.jpg 3.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 7 left rotate-fpESZSHrsp0.mkv_0.jpg 3.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.1 Introduction to Sequences-x2Ul4NtyoHw.mkv_2.jpg 3.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.2.1 Row Reduction and Echelon Forms-7xtAYrAtuPc.mkv_3.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.1 Verify Functions are Inverses of One Another-_wsnbo-DBUw.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.2 Determine Whether a Function Has An Inverse-xJUT0ckjWS0.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.3 Find the Inverse of a Function-jOElzjxX9DI.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.3.4 Find the Derivative of an Inverse of a Function-DDGoJaC1psg.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.1 Inverse Trigonometric Functions-uLP9F1-05Kw.mkv_0.jpg 3.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions-g2jx2vAAie0.mkv_0.jpg 3.7 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Big Bang Model-uij0JPt4YzI.mkv_0.jpg 3.7 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors-8rXD5-xhemo.mkv_0.jpg 3.7 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples-zEdovJYAGwU.mkv_0.jpg 3.6 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley)-DaOLlnOV0s0.mkv_0.jpg 3.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 13 Constructor for a chained hash.-VtU1EQPIS0w.mkv_0.jpg 3.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 6 removeFirst()-BlUFXfGzm0Y.mkv_1.jpg 3.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.2 Special Ways to Determine Linear Independence-EdLoNRo0s28.mkv_3.jpg 3.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 1 Introduction to sorts-H3FCoYQMKvI.mkv_1.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.1 Finding The Area Under a Curve-g-l13hjukiI.mkv_2.jpg 3.6 kB
Year 2/Semester 3/1. Probability/Probability (part 3)-wBDOCvHYckE.mkv_0.jpg 3.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control-j080VBVGkfQ.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.2 Change of Variables for Indefinite Integrals-UBh35F_4tnU.mkv_1.jpg 3.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities.-05JCQswK3hE.mkv_1.jpg 3.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution-4Ew60JEPGUk.mkv_0.jpg 3.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 1 Introduction to complexity-IgeJmTKQlKs.mkv_1.jpg 3.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.3.1 Characterizations of Invertible Matrices-Ht2Zl0Hfg_I.mkv_3.jpg 3.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/11. Differential Diagnosis-VuKOW8d4KHw.mkv_0.jpg 3.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 14 – Transformers and Self-Attention-5vcj8kSwBCY.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.1 The Log Rule for Integration-OPb0EuFmBOU.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.2.2 Integrals of Trigonometric Functions-GYl2waBxN1g.mkv_0.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.2 Center of Mass of a Planar Lamina-xq8z6SqVXTM.mkv_2.jpg 3.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility-OP3l8VUEE-8.mkv_0.jpg 3.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score--Lj6SvaVGr4.mkv_0.jpg 3.6 kB
Year 4/Semester 7/5. Robotics/Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009-EqAYRo4wXxY.mkv_0.jpg 3.6 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules-eGGTtAWlGoQ.mkv_1.jpg 3.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 11 Radix Sort-Uey0-GOMtT8.mkv_2.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.4.1 Trigonometric Substitution-wQgEjJ0PBH8.mkv_2.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.1 Antiderivatives-HU5gEKXXeiU.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.2 Basic Integration Rules-8TcwW0mhdAY.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.3 Find Particular Solutions to Differential Equations-HSJqLLMLlyA.mkv_1.jpg 3.6 kB
Year 2/Semester 3/1. Probability/Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy-uzkc-qNVoOk.mkv_0.jpg 3.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-M_VPUF9ResU.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.1 Properties of the Natural Logarithmic Function-WhN2Ps2ggQw.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.2 The Number e-N7Z-k6E47KY.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.1.3 The Derivative of the Natural Logarithmic Function-ZWnFz0dQVmc.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.1 Indeterminate Forms-sGGFLgaZLns.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.6.2 L’Hôpital’s Rule-7tgJB7aw-kg.mkv_0.jpg 3.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.2 - Introduction to Probability-_EpXHuPnaK0.mkv_1.jpg 3.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 15 – Natural Language Generation-4uG1NMKNWCU.mkv_0.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.1 General and Particular Solutions to Differential Equations-564pn3CaoyQ.mkv_0.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate-cgaFm9TJ_zg.mkv_0.jpg 3.6 kB
Year 2/Semester 3/1. Probability/Probability without equally likely events _ Probability and Statistics _ Khan Academy-RI874OSJp1U.mkv_0.jpg 3.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution.-w__TNyXH_xA.mkv_0.jpg 3.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 23-nDLe6_sPSfs.mkv_0.jpg 3.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/24. Robustness to Dataset Shift-VpfAWhLBjQY.mkv_0.jpg 3.6 kB
Year 3/Semester 5/2. Web Application Development/Python Django Web Framework - Full Course for Beginners-F5mRW0jo-U4.mkv_0.jpg 3.6 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation-yLYHDSv-288.mkv_0.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.3 Use The Power Series for Elementary Functions-IuHV7eAPdUg.mkv_1.jpg 3.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-oGwvMk5re3Y.mkv_1.jpg 3.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 10 Rehashing-7PuZOsxe-mo.mkv_1.jpg 3.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-nH4rn3X8i0c.mkv_1.jpg 3.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.3 Sorting Algorithms-sE00DnGrqcM.mkv_2.jpg 3.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.1 The Dimension of a Vector Space-jk6YPdIIJUg.mkv_3.jpg 3.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.1 Orthogonal Decomposition Theorem-fkWCkdBualw.mkv_3.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.1 The Taylor and Maclaurin Series-xU4sUffRUks.mkv_2.jpg 3.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.1 Rules of Inference for Propositional Logic-oasIqX74Mhc.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.1 Integrate Inverse Trigonometric Functions-ofTzdKxMcOg.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.8.2 Integrate Using the Completing the Square Technique-YItr1wnGcAg.mkv_0.jpg 3.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.1 Introduction to Functions-BaaC0IOkfWI.mkv_2.jpg 3.6 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 12-2Gl-yNso0_0.mkv_0.jpg 3.6 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 4 - Perceptron & Generalized Linear Model _ Stanford CS229 - Machine Learning (Autumn 2018)-iZTeva0WSTQ.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically-OzL5d2GBUWI.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.2 Find Limits Graphically and Numerically - When Limits Fail to Exist-54q-w2Gpz4o.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.3 Find Limits Graphically and Numerically - The Formal Definition of A Limit-QBxxKXDaRvc.mkv_1.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations-OUQmx7GQwmY.mkv_1.jpg 3.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.4 Useful Functions to Know-_a9veRNS78w.mkv_2.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.1 A Preview of Calculus-8NIsIW5nf4Y.mkv_1.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.4.1 First Order Linear Differential Equations--N0cJkC64-E.mkv_1.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.7.1 Fluid Pressure and Fluid Force-G62RLNbZhmw.mkv_2.jpg 3.6 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 2 - RPC and Threads-gA4YXUJX7t8.mkv_0.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.1 Evaluating Limits Using Properties of Limits-2hwdlWPoaUE.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing-44-RJEdGjC4.mkv_1.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem-5MaW99om2v4.mkv_1.jpg 3.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search-vDF1BYWhqL8.mkv_1.jpg 3.6 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu-TUFins4z6o4.mkv_0.jpg 3.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections-zEKfcK6A_Rg.mkv_0.jpg 3.6 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 10 - Cloud Replicated DB, Aurora-jJSh54J1s5o.mkv_0.jpg 3.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 5 Node Class-MDERPc4eU-M.mkv_2.jpg 3.6 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.2 Determine Vertical Asymptotes-OtBj-vTtNME.mkv_1.jpg 3.5 kB
Year 2/Semester 3/1. Probability/Dependent probability example _ Probability and Statistics _ Khan Academy-xPUm5SUVzTE.mkv_0.jpg 3.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities-OFU64V8rEDM.mkv_0.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.1 Exponential Functions with Bases Other than e-nEQ7bWzMUn8.mkv_0.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.2 Differentiate and Integrate with Bases Other than e-ZWZkVPQFZ9Y.mkv_0.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 5.5.3 Applications of Bases Other than e-XacAqmeVBuI.mkv_0.jpg 3.5 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/25. Audio CD-t2hNMFoIv8w.mkv_0.jpg 3.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.2 Translating with Nested Quantifiers-8ws-MMeDOSE.mkv_1.jpg 3.5 kB
Year 1/Semester 2/4. Computer System Architecture/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-5Oi7tvYE7fI.mkv_1.jpg 3.5 kB
Year 2/Semester 3/1. Probability/Expected value of binomial distribution _ Probability and Statistics _ Khan Academy-SqcxYnNlI3Y.mkv_0.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 7 complete example of adding data to an AVL tree.-7m94k2Qhg68.mkv_0.jpg 3.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.2 Non-Homogeneous System Solutions-jsyutdYtOc4.mkv_3.jpg 3.5 kB
Year 4/Semester 7/5. Robotics/Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009-KNRMz9YPCOY.mkv_0.jpg 3.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP-EAJoRA0KX7I.mkv_0.jpg 3.5 kB
Year 1/Semester 2/4. Computer System Architecture/Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-B2PPyATuSvs.mkv_0.jpg 3.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/23. Fairness-zYgkr0KfWM0.mkv_1.jpg 3.5 kB
Year 2/Semester 3/1. Probability/Probability density functions _ Probability and Statistics _ Khan Academy-Fvi9A_tEmXQ.mkv_0.jpg 3.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects-fyqm8fRDgl0.mkv_0.jpg 3.5 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation-buptHUzDKcE.mkv_1.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 11 Iterators-bx0ebSGUKto.mkv_0.jpg 3.5 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1-gT4F3HGYXf4.mkv_1.jpg 3.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.3 Proving Set Identities-tRknuaNSlrU.mkv_2.jpg 3.5 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation-dRIhrn8cc9w.mkv_1.jpg 3.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.2 Models of Exponential Growth and Decay-x-FAnx9-W8g.mkv_1.jpg 3.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.2 Operations with The Geometric Power Series-dok7tLtNFn8.mkv_1.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 3 Traversal-F2SksNIg0os.mkv_1.jpg 3.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Management Activities-eOTcPOvT-H4.mkv_0.jpg 3.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Engineering Basics-4b1D1QFEel0.mkv_0.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 12 Double Linked Lists-v8xyoI11PsU.mkv_0.jpg 3.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Software Project Manager-kXuzVl1Eo-E.mkv_0.jpg 3.5 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley)-MMB2wVyI_LI.mkv_0.jpg 3.5 kB
Year 4/Semester 7/5. Robotics/Lecture 10 _ MIT 6.832 Underactuated Robotics, Spring 2009-xwgIkdBQku4.mkv_2.jpg 3.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.1 The Alternating Series Test-cgxK4PH1XMY.mkv_2.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere)-uxieCe3otPM.mkv_1.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 3 Introduction to Generic Programming-_dy9JnEXekU.mkv_0.jpg 3.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Rapid Application Development (RAD)-yngKRepAgSg.mkv_0.jpg 3.5 kB
Year 4/Semester 7/5. Robotics/Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009-7nnFGxqRwNE.mkv_1.jpg 3.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/21. Automating Clinical Work Flows-Td01vFP3uJo.mkv_1.jpg 3.5 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 11-vnS9_NKoEKI.mkv_0.jpg 3.5 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.4 Summation Properties and Formulas-Zi2sLtCO44A.mkv_1.jpg 3.5 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 20 – Future of NLP + Deep Learning-3wWZBGN-iX8.mkv_1.jpg 3.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations-kBYt67NDToI.mkv_0.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 8 Open Addressing-yA8bDfWj0UU.mkv_1.jpg 3.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.1 Homogeneous System Solutions-ODOztJ6YRUM.mkv_3.jpg 3.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/9. Translating Technology Into the Clinic-ZQu2B3GyI_k.mkv_1.jpg 3.5 kB
Year 2/Semester 3/1. Probability/Coin flipping probability _ Probability and Statistics _ Khan Academy-mkyZ45KQYi4.mkv_0.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 13 Circular Linked Lists-7ELt4-z4YeI.mkv_0.jpg 3.5 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/15. Gene Regulatory Networks-So6MK_FcP4E.mkv_1.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.1 Continuity on Open Intervals-Niw3wBg6RPE.mkv_1.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.2 Continuity on Closed Intervals-BDMzVx2LV-0.mkv_1.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.3 Properties of Continuity-niSjuhVjb6k.mkv_1.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.4 The Intermediate Value Theorem-Dyvle5Cgw3g.mkv_1.jpg 3.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.2.2 Solution Sets and Free Variables-MfeOEdjUfXw.mkv_3.jpg 3.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 17 - MDPs & Value_Policy Iteration _ Stanford CS229 - Machine Learning (Autumn 2018)-d5gaWTo6kDM.mkv_0.jpg 3.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.1 Matrix Transformations-oo2ej9M49Tw.mkv_3.jpg 3.5 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.1 Determine Infinite Limits-w8QAIecvMnU.mkv_1.jpg 3.5 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 14 - Optimistic Concurrency Control-Cw6Nj2evjSs.mkv_1.jpg 3.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/13. Machine Learning for Mammography-2ZXYM1h9pgY.mkv_2.jpg 3.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate-F1sIkFyteqE.mkv_0.jpg 3.5 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 8 - Data Splits, Models & Cross-Validation _ Stanford CS229 - Machine Learning (Autumn 2018)-rjbkWSTjHzM.mkv_0.jpg 3.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.1 Finding Volume Using the Shell Method-X8lAi5ze8Z8.mkv_1.jpg 3.5 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning-zPU1SRHuAW8.mkv_1.jpg 3.5 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Spiral Model-z8CqlcPjmGE.mkv_0.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 6 The Rotate method-IuG3WSaDumc.mkv_1.jpg 3.5 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019-3UGti9Ju5j8.mkv_0.jpg 3.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/10. Application of Machine Learning to Cardiac Imaging-MoEaRpLNo9A.mkv_0.jpg 3.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.2 Subspace of a Vector Space-2Ee2B1Jp5ZE.mkv_3.jpg 3.5 kB
Year 4/Semester 7/5. Robotics/Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009-g-VehRFsDcI.mkv_0.jpg 3.5 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.2 Searching Algorithms-ZmOEkt7029g.mkv_2.jpg 3.5 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion-Le8qzbDhunE.mkv_1.jpg 3.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.2 Finding Volume Using the Washer Method-gg3A4oJILLA.mkv_1.jpg 3.5 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 3 - Classes--qjrcxVmf2Q.mkv_2.jpg 3.5 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/22. Regulation of Machine Learning _ Artificial Intelligence in the US-k95abdkdCPk.mkv_0.jpg 3.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Waterfall Model-fN6JgY6BEFs.mkv_0.jpg 3.4 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro - Training a neural network to play a game with TensorFlow and Open AI-3zeg7H6cAJw.mkv_1.jpg 3.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration--mjWOV6Ye84.mkv_0.jpg 3.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review-o_i5F1zGPLs.mkv_1.jpg 3.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World-E3f2Camj0Is.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.1 A Summary of Curve Sketching-qE5wCY-Kxnk.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.6.2 Curve Sketching - Full Practice-hahDwDNirpc.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.1 Riemann Sums-xeyfJ-WktOQ.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.2 Definite Integrals-YFEk1YI3lwk.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.3 Properties of Definite Integrals-ePTEdW4xj5o.mkv_1.jpg 3.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.4.1 Recursive Algorithms-d5Ru22xhqJU.mkv_2.jpg 3.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.2 The Characteristic Equation-a7KAdb2zqvg.mkv_3.jpg 3.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse-bZ275aLiypo.mkv_0.jpg 3.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 14 - Expectation-Maximization Algorithms _ Stanford CS229 - Machine Learning (Autumn 2018)-rVfZHWTwXSA.mkv_0.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 6 Merge Sort-qdv3i6X0PiQ.mkv_0.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 4 Hash Functions for Strings-jtMwp0FqEcg.mkv_0.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Stacks and Queues 3 Using arrays to write stacks and queues-sHgHZdZEjz4.mkv_2.jpg 3.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.2 Solving Logic Puzzles-N2YHianzseI.mkv_2.jpg 3.4 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing-nC9_RfjYwqA.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.1 Intervals of Concavity-c7_MkBWojC4.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.2 Points of Inflection-QrxGozcFxXg.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.3 The Second Derivative Test-xIkm1CXpmL4.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.4.4 Putting It All Together-j-HND1gJCg4.mkv_0.jpg 3.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/2. Overview of Clinical Care-DS97JV_o0Fs.mkv_0.jpg 3.4 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019-C5bdflsg7rs.mkv_1.jpg 3.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.1 The Integral Test-QKjOOwzJsc4.mkv_3.jpg 3.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known-kv8u7yl6VQk.mkv_0.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 8 Quick Sort-ZHVk2blR45Q.mkv_2.jpg 3.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode-NGGkOa35Sm8.mkv_1.jpg 3.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.1 Plane Curves and Parametric Equations-CK8pTQoav3g.mkv_1.jpg 3.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations-OyRzpScJuvE.mkv_0.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 5 checking balance in an AVL tree-iNy6c4Q9Umw.mkv_2.jpg 3.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement-z6dtF1eJ3m4.mkv_0.jpg 3.4 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 1 - Introduction-cQP8WApzIQQ.mkv_1.jpg 3.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning-gOV8-bC1_KU.mkv_1.jpg 3.4 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Incremental Model-0r2yu-8RdEA.mkv_0.jpg 3.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction-ljeQ1yNexIU.mkv_0.jpg 3.4 kB
Year 2/Semester 3/1. Probability/Free throwing probability _ Probability and Statistics _ Khan Academy-iMqCSgqzmiQ.mkv_0.jpg 3.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.1 Proof by Cases-dheuJkuSNyI.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.1 Increasing and Decreasing Intervals-oMWaVs5yxdo.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.3.2 The First Derivative Test-UFPZWLNIulo.mkv_0.jpg 3.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-RBgeCCW5Hjs.mkv_0.jpg 3.4 kB
Year 4/Semester 7/5. Robotics/Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009-4kB94UDwJ0M.mkv_0.jpg 3.4 kB
Year 1/Semester 1/1. Structured Programming (Programming in C)/C Programming Tutorial _ Learn C programming _ C language--CpG3oATGIs.mkv_0.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 10 Rotations-NczBLeco6XA.mkv_1.jpg 3.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-NpC39uS4K4o.mkv_1.jpg 3.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown.-onTQhD7osY4.mkv_0.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees and heaps 1 Introduction-lhTCSGRAlXI.mkv_1.jpg 3.4 kB
Year 4/Semester 7/5. Robotics/Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009-qtmmwILxVR4.mkv_0.jpg 3.4 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I-8LEuyYXGQjU.mkv_1.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 1 Introduction-uW8-HkmNq4Q.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals-ZWYnYH-NnzY.mkv_1.jpg 3.4 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 3 Insertion Sort-eTvQIbB-AuE.mkv_1.jpg 3.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.1 The Power Series L=0 or L=Inf-u5k5Iy9My7Q.mkv_2.jpg 3.4 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.4 Algorithms for Integer Operations-u1lbOzWb6X4.mkv_1.jpg 3.4 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu-z0EknfZdlIs.mkv_0.jpg 3.4 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.1 Nested Quantifiers and Negations-Jth7m3j8uGA.mkv_1.jpg 3.4 kB
Year 2/Semester 3/1. Probability/Combinations-bCxMhncR7PU.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.1 Sigma Notation-9a96ChQreSs.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.2 The Concept of Area-AEW-9gw4Ocs.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.3 The Approximate Area of a Plane Region-y0ZmzMQnK6A.mkv_1.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.4 Finding Area By The Limit Definition-yLMDOV9EXWY.mkv_1.jpg 3.4 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/5. Risk Stratification, Part 2-wqI_z1yumzY.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.3 Related Rates - Modeling with Triangles-0Pm0vSLJOq0.mkv_1.jpg 3.4 kB
Year 2/Semester 3/1. Probability/Probability (part 7)-BLcgeLALLnc.mkv_0.jpg 3.4 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 6 - Support Vector Machines _ Stanford CS229 - Machine Learning (Autumn 2018)-lDwow4aOrtg.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.1 Extrema of a Function on an Interval-toNQxJhXbmY.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.2 Relative Extrema of a Function on an Open Interval-a3uHiD94dkE.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.1.3 Find Extrema on a Closed Interval-yhEZ5qxBrLY.mkv_0.jpg 3.4 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'-a86Vj_7R2aQ.mkv_0.jpg 3.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System-3NkxeDnLh4A.mkv_0.jpg 3.4 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.1 Determine Finite Limits at Infinity-hJ1rhSj6-0I.mkv_0.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.2 Determine Horizontal Asymptotes of a Function-SkiSWGU7Guk.mkv_0.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.3 Horizontal Asymptotes - Tricky Examples-qLUxbW1CbLg.mkv_0.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.5.4 Determine Infinite Limits at Infinity-kMo0hLq__Zw.mkv_0.jpg 3.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 4 TrickleDown-jHZu1GV27tI.mkv_0.jpg 3.3 kB
Year 4/Semester 7/5. Robotics/Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009-CUygqWS7occ.mkv_0.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.3 Summations and Sigma Notation-w9zIex42wnY.mkv_1.jpg 3.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.2 The Best Approximation Theorem-tDAH7TZICT8.mkv_3.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.2 Proofs of Existence And Uniqueness-uNbt-ABKpj4.mkv_1.jpg 3.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 4 Insertion Sort Code-3U2vTqaL7uE.mkv_1.jpg 3.3 kB
Year 1/Semester 2/4. Computer System Architecture/Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-cIhExOjdFPI.mkv_0.jpg 3.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 19 – Bias in AI-XR8YSRcuVLE.mkv_0.jpg 3.3 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/18. Discrete-Time (DT) Fourier Representations-3D51nqZ-97Q.mkv_0.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math 1.2.1 - Translating Propositional Logic Statements-A2k3ulOJ3u4.mkv_0.jpg 3.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.3 Absolute and Conditional Convergence-rxA0wACkVao.mkv_1.jpg 3.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 6 Make an integer positive-1JZMb3D75PY.mkv_1.jpg 3.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 2 Complete and Full-Lta807sEOQY.mkv_1.jpg 3.3 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley)-DRGr3tFtHiQ.mkv_0.jpg 3.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation-D6EzBdAbT2Q.mkv_0.jpg 3.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.4.1 The Direct Comparison Test-oobg9RMaGjo.mkv_2.jpg 3.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown-3AkOjmtz0XU.mkv_0.jpg 3.3 kB
Year 2/Semester 3/1. Probability/Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy-PddbEVNMgTY.mkv_0.jpg 3.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.1 Introduction to Determinants-UWaeMiP_vK8.mkv_3.jpg 3.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.1.2 Modular Arithmetic-tBmuDlpQ0a8.mkv_2.jpg 3.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.2 - An Introduction to Hypothesis Testing-ev8cKdrdA4s.mkv_0.jpg 3.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.5.1 Least Squares Problems-o0N5VVX6K9Y.mkv_3.jpg 3.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.2 Structural Induction-m1f0k-sDPG4.mkv_2.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.3 Inverse Functions and Composition of Functions-aQefXelCN5Y.mkv_0.jpg 3.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.1 Finding Volume Using the Disk Method-mKcQS5zoqDc.mkv_1.jpg 3.3 kB
Year 4/Semester 7/5. Robotics/Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009-QI09XKVW_8E.mkv_1.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables-tj_98IO-lCk.mkv_0.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle)-Oa2E7MbUThE.mkv_1.jpg 3.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 7 Merge Sort Code-jr10xrAFSEg.mkv_2.jpg 3.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 18 – Constituency Parsing, TreeRNNs-6Z4A3RSf-HY.mkv_0.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.1.2 Set Relationships-FySFFWUU0OQ.mkv_2.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.1 Rolle’s Theorem-m-XwUqPoCpA.mkv_0.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.2.2 The Mean Value Theorem-VYvS5kWS2tg.mkv_0.jpg 3.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation.-d7w9fRlDXQk.mkv_0.jpg 3.3 kB
Year 4/Semester 7/5. Robotics/Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009--fCLJ1pGht4.mkv_0.jpg 3.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 4 recursive add for an AVL tree-vYkgmdzhBoI.mkv_1.jpg 3.3 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 9 Quick Sort Worst Case-auclbmnm4iA.mkv_2.jpg 3.3 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.1 Revisiting Recursive Definitions-j-7BQ6V5ZPo.mkv_1.jpg 3.3 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-JXtH_ABQFX0.mkv_0.jpg 3.3 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 5 - GDA & Naive Bayes _ Stanford CS229 - Machine Learning (Autumn 2018)-nt63k3bfXS0.mkv_0.jpg 3.3 kB
Year 4/Semester 7/5. Robotics/Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009-Z8oMbOj9IWM.mkv_0.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.1 Optimization Problems-LnXewON-ifk.mkv_0.jpg 3.3 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 3.7.2 Optimization Practice-Q5CrW8yQo-0.mkv_0.jpg 3.3 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables-shrTfDUB9Hk.mkv_1.jpg 3.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations-SEh3yhEFK1w.mkv_2.jpg 3.3 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention-XXtpJxZBa2c.mkv_0.jpg 3.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.2 Polar Graphs-iyMHXLC6GCQ.mkv_3.jpg 3.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.9.1 Represent Functions with the Geometric Power Series-JxZV7XLLFRg.mkv_0.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.2 Recurrence Relations-QaAQ-bKCUME.mkv_2.jpg 3.3 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.4 Hyperbolas-xbibyHk3llQ.mkv_3.jpg 3.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.2.2 Orthogonal Projections-fqbwErsP8Xw.mkv_3.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.1.1 Introduction to Sets-dZbbkoYcSOE.mkv_2.jpg 3.3 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.3 Negating and Translating with Quantifiers-8eCZ1suibCw.mkv_0.jpg 3.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.2 Rules of Inference for Quantified Statements-zMtToQelLN8.mkv_0.jpg 3.2 kB
Year 4/Semester 7/1. Signals and Systems (Digital Signal Processing)/21. Sampling-1El4znkRH0g.mkv_0.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 9 peek()-GIE2XiztuXg.mkv_0.jpg 3.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.1 The Inverse of a Matrix-kCPmiFAdCQ0.mkv_3.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 2 Nodes-91aebuLdWok.mkv_2.jpg 3.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 12 - Backprop & Improving Neural Networks _ Stanford CS229 - Machine Learning (Autumn 2018)-zUazLXZZA2U.mkv_0.jpg 3.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.1 Prime Numbers and Their Properties-uuoxgAAikH4.mkv_1.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL 1 Introduction--9sHvAnLN_w.mkv_1.jpg 3.2 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley)-UnDajgiVmic.mkv_0.jpg 3.2 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 9-KBVkri8k3Ao.mkv_0.jpg 3.2 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction-FgzM3zpZ55o.mkv_1.jpg 3.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent-H6gIC1FF1b4.mkv_0.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 7 Contains-TNsfoKv8xvA.mkv_1.jpg 3.2 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 16 - Cache Consistency - Memcached at Facebook-Myp8z0ybdzM.mkv_1.jpg 3.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.3 Proof by Contradiction-b-kFWP9a2tw.mkv_0.jpg 3.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample-MfkJu7J1LE4.mkv_0.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 5 HeapSort-LbB357_RwlY.mkv_0.jpg 3.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities-IXvUn9iR2wA.mkv_0.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 10 Testing the list-XUiRmbBn71w.mkv_0.jpg 3.2 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning-RN8qpSs8ozY.mkv_0.jpg 3.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.3 Applications Involving the Area Between Two Curves-NksmQNMEZ3A.mkv_0.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 14 Review of constructors-CQPy29vNa1M.mkv_0.jpg 3.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules-eGGTtAWlGoQ.mkv_0.jpg 3.2 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.2 Proof by Contraposition-vMwejR0bqwo.mkv_0.jpg 3.2 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3-G-KvpNGudLw.mkv_0.jpg 3.2 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 17 – Multitask Learning-M8dsZsEtEsg.mkv_0.jpg 3.2 kB
Year 2/Semester 3/1. Probability/Introduction to Random Variables-IYdiKeQ9xEI.mkv_1.jpg 3.2 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018)-jGwO_UgTS7I.mkv_0.jpg 3.2 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-O1Xh3H1uEYY.mkv_1.jpg 3.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.4.2 The Limit Comparison Test-vrdEFULYkL8.mkv_2.jpg 3.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.1 Matrices and Matrix Operations-dLm1pglDFHA.mkv_1.jpg 3.2 kB
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Year 4/Semester 7/2. Natural Language Understanding/Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-6-4pJt1M18s.mkv_0.jpg 3.2 kB
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Year 4/Semester 7/2. Natural Language Understanding/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019-tZ_Jrc_nRJY.mkv_1.jpg 3.2 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.1 Find the Slope of a Tangent Line-zCxbsCbgAKo.mkv_0.jpg 3.2 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.1.2 Derivatives Using the Limit Definition--Agj1BVzQ8U.mkv_0.jpg 3.2 kB
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Year 4/Semester 7/5. Robotics/Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009-E-sOMfDVe8o.mkv_0.jpg 3.2 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations-oWJB0NaIcEE.mkv_0.jpg 3.2 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.2 Finding the Area Between Two Curves-xOvE4dzfcdU.mkv_1.jpg 3.2 kB
Year 2/Semester 4/3. Software Enginnering/1. Software Engineering theoretical/Project Execution and Monitoring-dXYMZDaPkUE.mkv_0.jpg 3.2 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs-QEw0qEa0E50.mkv_0.jpg 3.2 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 1 Introduction to sorts-H3FCoYQMKvI.mkv_0.jpg 3.2 kB
Year 4/Semester 7/5. Robotics/Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009-6v3Ln2ACtqI.mkv_1.jpg 3.2 kB
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Year 2/Semester 3/2. Statistics/Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms-AbHn39y8eUo.mkv_0.jpg 3.2 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals-zispJVm5Rdo.mkv_0.jpg 3.2 kB
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Year 4/Semester 7/5. Robotics/Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009-ja56bJ8ogUw.mkv_1.jpg 3.2 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code-vPqQSKsxH4k.mkv_0.jpg 3.1 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.1 The Ratio Test-uSsHlOb2wPA.mkv_3.jpg 3.1 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2-RVt4EN-XdPA.mkv_0.jpg 3.1 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.3 Zero-One Matrices-EkW2QsKyddM.mkv_2.jpg 3.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-b4Dl85FVSok.mkv_0.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 9 Introduction to rotations-M0Y3kDuyUCU.mkv_1.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 2 Selection Sort-fgYlVyrt1vE.mkv_1.jpg 3.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.3.2 The Logistic Differential Equation-Aw5fxCLXNco.mkv_1.jpg 3.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.1 Linear Independence-ofGN1Gtgjok.mkv_3.jpg 3.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.2 Slope Fields-a-twqOEqkdA.mkv_3.jpg 3.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pip8h9vjTHY.mkv_0.jpg 3.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation-WNgcmn5cXjI.mkv_0.jpg 3.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 5.3 - A Study of Binomial Probability Distributions-iGKSxMGX0Do.mkv_0.jpg 3.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019-YygGzfkhtJc.mkv_0.jpg 3.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 6 - Fault Tolerance - Raft (1)-64Zp3tzNbpE.mkv_0.jpg 3.1 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III-Hg_uyWezMM0.mkv_1.jpg 3.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.2.1 Properties of Determinants-9NRmIEbuSq8.mkv_3.jpg 3.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019-lzBB7xoZ3Q8.mkv_0.jpg 3.1 kB
Year 3/Semester 5/3. Machine Learning/1. Stanford CS229: Machine Learning/Lecture 7 - Kernels _ Stanford CS229 - Machine Learning (Autumn 2018)-8NYoQiRANpg.mkv_0.jpg 3.1 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.2 Matrix Operations on your TI-84-Hfdo5DGS2jk.mkv_1.jpg 3.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 7 - Fault Tolerance - Raft (2)-4r8Mz3MMivY.mkv_0.jpg 3.1 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II-E-_ecpD5PkE.mkv_1.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 18 KeyIterator-2LuVyqAC0ZA.mkv_0.jpg 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.1 Implicit and Explicit Functions-I0JjW7JkiGk.mkv_0.jpg 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.5.2 Implicit Differentiation-e1wr8svxdeA.mkv_0.jpg 3.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score-JaVA-nXKVRI.mkv_0.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 2 Hash Functions-XYmI-T-JJso.mkv_0.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 16 getValue()-jygDV6dwL74.mkv_1.jpg 3.1 kB
Year 3/Semester 6/5. Mobile applications - Android development/Android Development for Beginners - Full Course-fis26HvvDII.meta 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.2 Derivatives of Trigonometric Functions-ic3SMMxLoW8.mkv_0.jpg 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.3 Higher Order Derivatives-uEX4Ufm7AlY.mkv_0.jpg 3.1 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 10-Jsg9TwLRTbM.mkv_0.jpg 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.1 The Chain Rule-oCu6t8XGuQo.mkv_0.jpg 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.2 The General Power Rule-aXx8VaG3zFo.mkv_0.jpg 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.3 Simplifying Derivatives-ulDOTjVG4V8.mkv_0.jpg 3.1 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.4.4 Trigonometric Functions and the Chain Rule-h5NLTIA76nU.mkv_0.jpg 3.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 13 – Contextual Word Embeddings-S-CspeZ8FHc.mkv_0.jpg 3.1 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks-8CWyBNX6eDo.mkv_0.jpg 3.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.1 Vector Equations-ztsT5uoWeEE.mkv_3.jpg 3.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.3 Introduction to Logic Circuits-iyHXkQIbOUI.mkv_1.jpg 3.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-nH4rn3X8i0c.mkv_0.jpg 3.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.2 The Alternating Series Remainder-VIz5UHc0JGg.mkv_1.jpg 3.1 kB
Year 4/Semester 7/5. Robotics/Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009-7la43dvoLh0.mkv_0.jpg 3.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.1 Operations on Sets-ceQmwJ0xGrQ.mkv_2.jpg 3.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.1 The Matrix Equation Ax=b-kcBufqZgP4s.mkv_3.jpg 3.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.2 Linear Combinations-9QXnOwSOoWA.mkv_3.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 3 Collisions-YIoZQwWJIDA.mkv_0.jpg 3.1 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning-V7CY68zH6ps.mkv_0.jpg 3.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations-OUQmx7GQwmY.mkv_0.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 1 Introduction to complexity-IgeJmTKQlKs.mkv_0.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 9 height-FOTgPZYYDyQ.mkv_1.jpg 3.1 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-oGwvMk5re3Y.mkv_0.jpg 3.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.2 Orthogonal Vectors-4yNrSg7b4JA.mkv_3.jpg 3.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 15 - Big Data - Spark-mzIoSW-cInA.mkv_0.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 1 The Rules-nMExd4DthdA.mkv_0.jpg 3.1 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 19 - Bitcoin-K_euhRou98Y.mkv_0.jpg 3.1 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-IYMYI9AJpQs.mkv_0.jpg 3.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Complexity 2 Big Oh Notation-vsgrJrphEHo.mkv_1.jpg 3.1 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.1 Direct Proof-01b3KjgPhfI.mkv_1.jpg 3.1 kB
Year 1/Semester 2/1. Calculus part 2/Calclulus II - 10.1.2 Parabolas-b0O96OOOC9w.mkv_3.jpg 3.1 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics-9FtHB7V14Fo.mkv_0.jpg 3.0 kB
Year 2/Semester 4/4. Advanced Algorithms/Advanced Algorithms (COMPSCI 224), Lecture 26-DpxNW0T8CWg.mkv_0.jpg 3.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.2 One to One and Onto Functions-plSzGYwo-ew.mkv_1.jpg 3.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.2 Co-factor Expansion-bTf1ixziEO4.mkv_3.jpg 3.0 kB
Year 2/Semester 4/1. Operating Systems/2. Berkeley CS 162 Operating Systems/Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley)-Pk1E3Iod7eQ.mkv_0.jpg 3.0 kB
Year 4/Semester 7/5. Robotics/Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009-9qnpQ1hVlqw.mkv_0.jpg 3.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 17 - COPS, Causal Consistency-fR_NB714EAI.mkv_0.jpg 3.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.2 Translating with Nested Quantifiers-8ws-MMeDOSE.mkv_0.jpg 3.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019-7b2_3dDTKMc.mkv_0.jpg 3.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.1 Finding Arc Length-NL7RrQ40y5A.mkv_2.jpg 3.0 kB
Year 2/Semester 3/1. Probability/Permutations-XqQTXW7XfYA.mkv_1.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 6 Rebalancing AVL trees-wn1tc5SAGZk.mkv_1.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 5 Autoboxing-PN-E2QkgY84.mkv_2.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Trees 2 Example of building a tree-v6eDztNiJwo.mkv_2.jpg 3.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pO3Jsr31s_Q.mkv_1.jpg 3.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.3 Monotonic and Bounded Sequences-AwAAM_zmge4.mkv_1.jpg 3.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 4 - Primary-Backup Replication-M_teob23ZzY.mkv_0.jpg 3.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities.-05JCQswK3hE.mkv_0.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 15 add() and remove() methods-wyxej4siMyI.mkv_1.jpg 3.0 kB
Year 2/Semester 3/1. Probability/Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy-AOsWph2FNLw.mkv_0.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 2 Add Remove-7KhYwHfx40U.mkv_1.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.1 The Fundamental Theorem of Calculus-3u-8LNMiHbA.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.2 The Mean Value Theorem for Integrals-NXXVUeW31Qg.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.3 The Average Value of a Function-PjSGp4XsY0E.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.4.4 The Second Fundamental Theorem of Calculus-HwBskK0WbJs.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.3.1 The Product and Quotient Rules-KPXIuZwQxts.mkv_0.jpg 3.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.2 Surfaces of Revolution-VXfhAt3iphY.mkv_2.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 4 Parameterized Types-DjJRWroA168.mkv_0.jpg 3.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019-C5bdflsg7rs.mkv_0.jpg 3.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/20. Precision Medicine-kZrb6ZIwJqg.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.2 Rates of Change-xpSqZGYB5P0.mkv_0.jpg 3.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine-3ibCta5SH7Q.mkv_0.jpg 3.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.3.3 Constructing New Logical Equivalences-u5y1zte2w_4.mkv_0.jpg 3.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019-M_VPUF9ResU.mkv_0.jpg 3.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties-XE1WlvE1Iig.mkv_2.jpg 3.0 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering-yIdF-17HwSk.mkv_0.jpg 3.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 6.1.1 Counting Rules-32MnjUdIF0c.mkv_2.jpg 3.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known.-VywV9XcA9IE.mkv_0.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 8 Remove-YeSPhuU-QtE.mkv_0.jpg 3.0 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning-zPU1SRHuAW8.mkv_0.jpg 3.0 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.3 - The Addition Rule for Probability-mmWxtSx03JI.mkv_0.jpg 3.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 12 - Distributed Transactions-aDp99WDIM_4.mkv_0.jpg 3.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/15. Causal Inference, Part 2-g5v-NvNoJQQ.mkv_0.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 6 removeFirst()-BlUFXfGzm0Y.mkv_0.jpg 3.0 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/16. Reinforcement Learning, Part 1-YZ5pOgY5hEE.mkv_0.jpg 3.0 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019-WXLb4h2A724.mkv_1.jpg 3.0 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control-j080VBVGkfQ.mkv_0.jpg 3.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.1 Predicate Logic-aqQj-3bSv7k.mkv_2.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.1 Evaluating Limits Using Properties of Limits-2hwdlWPoaUE.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing-44-RJEdGjC4.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem-5MaW99om2v4.mkv_0.jpg 3.0 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.2 Change of Variables for Indefinite Integrals-UBh35F_4tnU.mkv_0.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 3 Boundary Conditions-rxpUg4M_jWo.mkv_1.jpg 3.0 kB
Year 4/Semester 7/5. Robotics/Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009-ufM3HLTZ47k.mkv_0.jpg 3.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 3 Adding a node-uTLiAbHH8xI.mkv_1.jpg 3.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.2 The p-Series-VGDWIOdrpV4.mkv_3.jpg 2.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search-vDF1BYWhqL8.mkv_0.jpg 2.9 kB
Year 4/Semester 7/5. Robotics/Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009-oWr1_LybOZI.mkv_1.jpg 2.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.6.1 Rules of Inference for Propositional Logic-oasIqX74Mhc.mkv_0.jpg 2.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 2.2.1 Basic Differentiation Rules-hbiX_8jPtB0.mkv_0.jpg 2.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.1 The Limit of a Sequence-dsjOpoGcs9Q.mkv_2.jpg 2.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.2 The Geometric Series-OX-9dHs4u-Q.mkv_2.jpg 2.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 10 number of black nodes-ikvNJkKJr_o.mkv_2.jpg 2.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.1 The Row Space-4TpVjdY8uGc.mkv_3.jpg 2.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.2 Disk Method vs. Shell Method-fg01lNpUQMo.mkv_1.jpg 2.9 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 1.4.4 The Intermediate Value Theorem-Dyvle5Cgw3g.mkv_0.jpg 2.9 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically-OzL5d2GBUWI.mkv_0.jpg 2.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.2.2 Find Limits Graphically and Numerically - When Limits Fail to Exist-54q-w2Gpz4o.mkv_0.jpg 2.9 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 6 Exceptions-i59ZamvhmaU.mkv_1.jpg 2.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Heaps 1 Introduction and Tree levels-BzQGPA_v-vc.mkv_1.jpg 2.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.2 Set Identities-ReV1lwBw_lc.mkv_2.jpg 2.9 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.2 The Binomial Series-O-Oe9wIr1VQ.mkv_2.jpg 2.9 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.2 Basic Integration Rules-8TcwW0mhdAY.mkv_0.jpg 2.9 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.1.3 Find Particular Solutions to Differential Equations-HSJqLLMLlyA.mkv_0.jpg 2.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.6.2 Center of Mass of a Planar Lamina-xq8z6SqVXTM.mkv_1.jpg 2.9 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.3.1 Finding Volume Using the Shell Method-X8lAi5ze8Z8.mkv_0.jpg 2.9 kB
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Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 16 – Coreference Resolution-i19m4GzBhfc.mkv_0.jpg 2.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 3.1.4 Optimization Algorithms-MWaJuoFwyv8.mkv_1.jpg 2.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 7 LoadFactor()-pMKUrv1NksA.mkv_2.jpg 2.9 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.1 Prime Numbers and Their Properties-uuoxgAAikH4.mkv_0.jpg 2.9 kB
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Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.4 Useful Functions to Know-_a9veRNS78w.mkv_1.jpg 2.9 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1-gT4F3HGYXf4.mkv_0.jpg 2.9 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World-E3f2Camj0Is.mkv_0.jpg 2.9 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 4.2 - Introduction to Probability-_EpXHuPnaK0.mkv_0.jpg 2.9 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 1.1 A Preview of Calculus-8NIsIW5nf4Y.mkv_0.jpg 2.8 kB
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Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.2 The Concept of Area-AEW-9gw4Ocs.mkv_0.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.3 The Approximate Area of a Plane Region-y0ZmzMQnK6A.mkv_0.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.2.4 Finding Area By The Limit Definition-yLMDOV9EXWY.mkv_0.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.1 Riemann Sums-xeyfJ-WktOQ.mkv_0.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.2 Definite Integrals-YFEk1YI3lwk.mkv_0.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.3.3 Properties of Definite Integrals-ePTEdW4xj5o.mkv_0.jpg 2.8 kB
Year 4/Semester 7/5. Robotics/Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009-7nnFGxqRwNE.mkv_0.jpg 2.8 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 1 Introduction--EDUhPg6930.mkv_1.jpg 2.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.1 An Introduction to Conic Sections-2g_1--LXlM4.mkv_1.jpg 2.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.10.1 The Taylor and Maclaurin Series-xU4sUffRUks.mkv_1.jpg 2.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu-NCUDEgLfC_I.mkv_1.jpg 2.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 5 Compressing numbers to fit the size of the array--ftpXclGT4c.mkv_2.jpg 2.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 9 Chaining-nVu_OnyGk6U.mkv_1.jpg 2.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.1 Vector Spaces-QMwwplztQfY.mkv_3.jpg 2.8 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.8.2 Proofs of Existence And Uniqueness-uNbt-ABKpj4.mkv_0.jpg 2.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/9. Translating Technology Into the Clinic-ZQu2B3GyI_k.mkv_0.jpg 2.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.2 Column Spaces-2L0qOtgu9eE.mkv_3.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals-ZWYnYH-NnzY.mkv_0.jpg 2.8 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-PhUo1IMo6UU.mkv_0.jpg 2.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.4.1 First Order Linear Differential Equations--N0cJkC64-E.mkv_0.jpg 2.8 kB
Year 3/Semester 5/3. Machine Learning/2. Practical Machine Learning Tutorial with Python/Intro - Training a neural network to play a game with TensorFlow and Open AI-3zeg7H6cAJw.mkv_0.jpg 2.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.3.1 Revisiting Recursive Definitions-j-7BQ6V5ZPo.mkv_0.jpg 2.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.2.4 Algorithms for Integer Operations-u1lbOzWb6X4.mkv_0.jpg 2.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 11 Radix Sort-Uey0-GOMtT8.mkv_1.jpg 2.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I-8LEuyYXGQjU.mkv_0.jpg 2.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/LinkedList 4 addFirst()-yMoHuOZzMpk.mkv_1.jpg 2.8 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/1. What Makes Healthcare Unique-vof7x8r_ZUA.mkv_0.jpg 2.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.7.1 Fluid Pressure and Fluid Force-G62RLNbZhmw.mkv_1.jpg 2.8 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation-dRIhrn8cc9w.mkv_0.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.3 Related Rates - Modeling with Triangles-0Pm0vSLJOq0.mkv_0.jpg 2.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.2 Computation of Ax-mH3Me8P-CO8.mkv_3.jpg 2.8 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion-Le8qzbDhunE.mkv_0.jpg 2.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 4 Expression Trees-V9oTubnyb0Y.mkv_1.jpg 2.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Welcome to Data Structures-zgCnMvvw6Oo.mkv_1.jpg 2.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.1 Systems of Linear Equations-LHsPJ2bQX1U.mkv_2.jpg 2.8 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019-tZ_Jrc_nRJY.mkv_0.jpg 2.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse-zcm8plpCUZI.mkv_2.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus 1.5.1 Determine Infinite Limits-w8QAIecvMnU.mkv_0.jpg 2.8 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere)-uxieCe3otPM.mkv_0.jpg 2.8 kB
Year 4/Semester 8/1. Natural Language Processing with Deep Learning/Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 20 – Future of NLP + Deep Learning-3wWZBGN-iX8.mkv_0.jpg 2.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.3.3 The Euclidean Algorithm-5LhWIaWlprM.mkv_1.jpg 2.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues-g4pC_MQagg8.mkv_2.jpg 2.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.1.1 Finding The Area Under a Curve-g-l13hjukiI.mkv_1.jpg 2.8 kB
Year 4/Semester 7/5. Robotics/Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009-6v3Ln2ACtqI.mkv_0.jpg 2.7 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/23. Fairness-zYgkr0KfWM0.mkv_0.jpg 2.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 1 - Introduction-cQP8WApzIQQ.mkv_0.jpg 2.7 kB
Year 1/Semester 2/4. Computer System Architecture/Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-5Oi7tvYE7fI.mkv_0.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 1 Introduction-uW8-HkmNq4Q.mkv_0.jpg 2.7 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 2.6.2 Matrix Operations on your TI-84-Hfdo5DGS2jk.mkv_0.jpg 2.7 kB
Year 4/Semester 8/3. Introduction to Bioinformatics/1. MIT Computational and Systems Biology/15. Gene Regulatory Networks-So6MK_FcP4E.mkv_0.jpg 2.7 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction-FgzM3zpZ55o.mkv_0.jpg 2.7 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning-gOV8-bC1_KU.mkv_0.jpg 2.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.3 Proving Set Identities-tRknuaNSlrU.mkv_1.jpg 2.7 kB
Year 2/Semester 3/1. Probability/Binomial Distribution 4-H0ZgOGWUcJw.mkv_1.jpg 2.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.2.1 Finding Volume Using the Disk Method-mKcQS5zoqDc.mkv_0.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 8 Open Addressing-yA8bDfWj0UU.mkv_0.jpg 2.7 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 14 - Optimistic Concurrency Control-Cw6Nj2evjSs.mkv_0.jpg 2.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.2.2 Solving Logic Puzzles-N2YHianzseI.mkv_1.jpg 2.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.3.1 Introduction to Functions-BaaC0IOkfWI.mkv_1.jpg 2.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.5.1 Work, Work, Work-yTca2zd9XkU.mkv_2.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL 1 Introduction--9sHvAnLN_w.mkv_0.jpg 2.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose-RM24OPadFMA.mkv_2.jpg 2.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.3 Ellipses-pgcsQr8lKCg.mkv_3.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 6 The Rotate method-IuG3WSaDumc.mkv_0.jpg 2.7 kB
Year 1/Semester 1/3. Calculus part 1/Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle)-Oa2E7MbUThE.mkv_0.jpg 2.7 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III-Hg_uyWezMM0.mkv_0.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 6 Make an integer positive-1JZMb3D75PY.mkv_0.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 2 Complete and Full-Lta807sEOQY.mkv_0.jpg 2.7 kB
Year 1/Semester 1/5. Intro to Python Programming/Learn Python - Full Course for Beginners [Tutorial]-rfscVS0vtbw.meta 2.7 kB
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Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.5.1 Nested Quantifiers and Negations-Jth7m3j8uGA.mkv_0.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees and heaps 1 Introduction-lhTCSGRAlXI.mkv_0.jpg 2.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.3 Absolute and Conditional Convergence-rxA0wACkVao.mkv_0.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 3 Insertion Sort-eTvQIbB-AuE.mkv_0.jpg 2.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors-Ju6Z90Spme0.mkv_2.jpg 2.7 kB
Year 1/Semester 2/4. Computer System Architecture/Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu-NpC39uS4K4o.mkv_0.jpg 2.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.2.1 Plane Curves and Parametric Equations-CK8pTQoav3g.mkv_0.jpg 2.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow-Vk5Iun6sxhM.mkv_2.jpg 2.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Stacks and Queues 3 Using arrays to write stacks and queues-sHgHZdZEjz4.mkv_1.jpg 2.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 9 Introduction to rotations-M0Y3kDuyUCU.mkv_0.jpg 2.6 kB
Year 4/Semester 7/2. Natural Language Understanding/Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019-pO3Jsr31s_Q.mkv_0.jpg 2.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II-E-_ecpD5PkE.mkv_0.jpg 2.6 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 5.4.1 Recursive Algorithms-d5Ru22xhqJU.mkv_1.jpg 2.6 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 5 Node Class-MDERPc4eU-M.mkv_1.jpg 2.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/21. Automating Clinical Work Flows-Td01vFP3uJo.mkv_0.jpg 2.6 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.5.2 The Alternating Series Remainder-VIz5UHc0JGg.mkv_0.jpg 2.6 kB
Year 2/Semester 3/2. Statistics/Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode-NGGkOa35Sm8.mkv_0.jpg 2.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.4.1 Trigonometric Substitution-wQgEjJ0PBH8.mkv_1.jpg 2.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.7.1 Direct Proof-01b3KjgPhfI.mkv_0.jpg 2.6 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 4 Insertion Sort Code-3U2vTqaL7uE.mkv_0.jpg 2.6 kB
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Year 2/Semester 3/1. Probability/Combinations-bCxMhncR7PU.mkv_0.jpg 2.6 kB
Year 4/Semester 8/2. Reinforcement Learning/1. Stanford Reinforcement Learning/Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review-o_i5F1zGPLs.mkv_0.jpg 2.6 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.4.2 Recurrence Relations-QaAQ-bKCUME.mkv_1.jpg 2.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.1.2 Pattern Recognition for Sequences-6YFWJBE3o9w.mkv_0.jpg 2.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.8.1 The Power Series L=0 or L=Inf-u5k5Iy9My7Q.mkv_1.jpg 2.6 kB
Year 4/Semester 8/5. Machine Learning for Healthcare/13. Machine Learning for Mammography-2ZXYM1h9pgY.mkv_1.jpg 2.6 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.2 Surfaces of Revolution-VXfhAt3iphY.mkv_1.jpg 2.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.1 Orthogonal Decomposition Theorem-fkWCkdBualw.mkv_2.jpg 2.4 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.1 The Dimension of a Vector Space-jk6YPdIIJUg.mkv_2.jpg 2.3 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.2 The Spanning Set Theorem-atwUmR-qpfk.mkv_2.jpg 2.2 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Trees 5 Node Class-MDERPc4eU-M.mkv_0.jpg 2.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.1 Systems of Linear Equations-LHsPJ2bQX1U.mkv_1.jpg 2.1 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.1 Linear Independence-ofGN1Gtgjok.mkv_2.jpg 2.1 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.2 Linear Combinations-9QXnOwSOoWA.mkv_2.jpg 2.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues-g4pC_MQagg8.mkv_1.jpg 2.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.2 Introduction to Linear Transformations-ofAcvZVEfBk.mkv_1.jpg 2.1 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.1 Vector Equations-ztsT5uoWeEE.mkv_2.jpg 2.1 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.5.1 Work, Work, Work-yTca2zd9XkU.mkv_1.jpg 2.1 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.1 The Matrix Equation Ax=b-kcBufqZgP4s.mkv_2.jpg 2.1 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 7 LoadFactor()-pMKUrv1NksA.mkv_1.jpg 2.1 kB
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Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.4.1 The Direct Comparison Test-oobg9RMaGjo.mkv_0.jpg 2.0 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.2 Orthogonal Vectors-4yNrSg7b4JA.mkv_2.jpg 2.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.3 Ellipses-pgcsQr8lKCg.mkv_2.jpg 2.0 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.1 The Row Space-4TpVjdY8uGc.mkv_2.jpg 2.0 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 13 - Spanner-4eW5SWBi7vs.mkv_1.jpg 2.0 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 9 Quick Sort Worst Case-auclbmnm4iA.mkv_0.jpg 2.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples-dFc2XK9dyNs.mkv_1.jpg 2.0 kB
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Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 8 Quick Sort-ZHVk2blR45Q.mkv_0.jpg 2.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.1 Vector Spaces-QMwwplztQfY.mkv_2.jpg 2.0 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.1 Linearly Independent Sets and Bases-lOyFbpemz58.mkv_1.jpg 2.0 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 6.1.1 Counting Rules-32MnjUdIF0c.mkv_0.jpg 2.0 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.1.1 Introduction to Sets-dZbbkoYcSOE.mkv_0.jpg 2.0 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 8.2.1 Integration by Parts-Ex8u3OhqllY.mkv_0.jpg 2.0 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors-Ju6Z90Spme0.mkv_1.jpg 2.0 kB
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Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.2.2 Set Identities-ReV1lwBw_lc.mkv_0.jpg 1.9 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.2 Column Spaces-2L0qOtgu9eE.mkv_2.jpg 1.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.1 Predicate Logic-aqQj-3bSv7k.mkv_0.jpg 1.9 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 2.1.2 Set Relationships-FySFFWUU0OQ.mkv_0.jpg 1.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/AVL Tree 2 Nodes-91aebuLdWok.mkv_0.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations-SEh3yhEFK1w.mkv_0.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow-Vk5Iun6sxhM.mkv_1.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.2 Computation of Ax-mH3Me8P-CO8.mkv_2.jpg 1.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Sorts 7 Merge Sort Code-jr10xrAFSEg.mkv_0.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties-XE1WlvE1Iig.mkv_0.jpg 1.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Trees 2 Example of building a tree-v6eDztNiJwo.mkv_0.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.1 Null Spaces-Dn7pcKMrU0s.mkv_2.jpg 1.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.1 Infinite Series-vzwfcNNmn1M.mkv_1.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space-lgKR0iJi7Ww.mkv_1.jpg 1.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.2 The Geometric Series-OX-9dHs4u-Q.mkv_0.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.2 Non-Homogeneous System Solutions-jsyutdYtOc4.mkv_1.jpg 1.9 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 7 LoadFactor()-pMKUrv1NksA.mkv_0.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.3.1 Characterizations of Invertible Matrices-Ht2Zl0Hfg_I.mkv_1.jpg 1.9 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.1 Eigenvectors and Eigenvalues-yh5ABTeNUpE.mkv_1.jpg 1.9 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.4.1 Finding Arc Length-NL7RrQ40y5A.mkv_0.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.1 Homogeneous System Solutions-ODOztJ6YRUM.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.1 Inner Product, Vector Length and Distance-C2iKgnGby0I.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.2.2 Solution Sets and Free Variables-MfeOEdjUfXw.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.1 Matrix Transformations-oo2ej9M49Tw.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.1 Orthogonal Decomposition Theorem-fkWCkdBualw.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.2 Special Ways to Determine Linear Independence-EdLoNRo0s28.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.2 Subspace of a Vector Space-2Ee2B1Jp5ZE.mkv_1.jpg 1.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.4 Hyperbolas-xbibyHk3llQ.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.2 The Characteristic Equation-a7KAdb2zqvg.mkv_1.jpg 1.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 7.5.1 Work, Work, Work-yTca2zd9XkU.mkv_0.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.1 Determinants and the IMT-XMWBC5_rFpI.mkv_1.jpg 1.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.2 The p-Series-VGDWIOdrpV4.mkv_1.jpg 1.8 kB
Year 1/Semester 2/2. Discrete Mathematics part 2/Discrete Math - 4.1.1 Divisibility-Qzy6hHgyb1g.mkv_0.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.1 The Dimension of a Vector Space-jk6YPdIIJUg.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.2 Rank-1MYkWhpuLtY.mkv_2.jpg 1.8 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.2 Slope Fields-a-twqOEqkdA.mkv_1.jpg 1.8 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.2 The Spanning Set Theorem-atwUmR-qpfk.mkv_1.jpg 1.8 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Java 5 Autoboxing-PN-E2QkgY84.mkv_0.jpg 1.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Red Black Tree 10 number of black nodes-ikvNJkKJr_o.mkv_0.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.1 Introduction to Determinants-UWaeMiP_vK8.mkv_1.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.1.1 Systems of Linear Equations-LHsPJ2bQX1U.mkv_0.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose-RM24OPadFMA.mkv_0.jpg 1.7 kB
Year 2/Semester 3/3. Algorithms and Data Structures/2. Data Structures theoretical/Hashes 5 Compressing numbers to fit the size of the array--ftpXclGT4c.mkv_0.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.1 The Inverse of a Matrix-kCPmiFAdCQ0.mkv_1.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples-dFc2XK9dyNs.mkv_0.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.2 Introduction to Linear Transformations-ofAcvZVEfBk.mkv_0.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.1 Linear Independence-ofGN1Gtgjok.mkv_1.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse-zcm8plpCUZI.mkv_0.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.5.1 Least Squares Problems-o0N5VVX6K9Y.mkv_1.jpg 1.7 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.1 The Integral Test-QKjOOwzJsc4.mkv_0.jpg 1.7 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.2.1 Properties of Determinants-9NRmIEbuSq8.mkv_1.jpg 1.7 kB
Year 1/Semester 1/2. Discrete Mathematics part 1/Discrete Math - 1.4.2 Quantifiers-DpcUJrYTduc.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.2 The Best Approximation Theorem-tDAH7TZICT8.mkv_1.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.2.2 Orthogonal Projections-fqbwErsP8Xw.mkv_1.jpg 1.6 kB
Year 1/Semester 2/1. Calculus part 2/Calclulus II - 10.1.2 Parabolas-b0O96OOOC9w.mkv_1.jpg 1.6 kB
Year 3/Semester 5/5. Distributed Computing & Systems/Lecture 13 - Spanner-4eW5SWBi7vs.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues-g4pC_MQagg8.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.1 Vector Equations-ztsT5uoWeEE.mkv_1.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.1 The Matrix Equation Ax=b-kcBufqZgP4s.mkv_1.jpg 1.6 kB
Year 2/Semester 4/5. Dynamic Programming/Dynamic Programming - Learn to Solve Algorithmic Problems & Coding Challenges-oBt53YbR9Kk.meta 1.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.2.1 Infinite Series-vzwfcNNmn1M.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.1 Linearly Independent Sets and Bases-lOyFbpemz58.mkv_0.jpg 1.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.6.1 The Ratio Test-uSsHlOb2wPA.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow-Vk5Iun6sxhM.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.2 Orthogonal Vectors-4yNrSg7b4JA.mkv_1.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.2.1 Row Reduction and Echelon Forms-7xtAYrAtuPc.mkv_0.jpg 1.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.3 Ellipses-pgcsQr8lKCg.mkv_1.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.2 Computation of Ax-mH3Me8P-CO8.mkv_1.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space-lgKR0iJi7Ww.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.2 Non-Homogeneous System Solutions-jsyutdYtOc4.mkv_0.jpg 1.6 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors-Ju6Z90Spme0.mkv_0.jpg 1.6 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.4.2 Polar Graphs-iyMHXLC6GCQ.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.2 Co-factor Expansion-bTf1ixziEO4.mkv_1.jpg 1.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 10.1.4 Hyperbolas-xbibyHk3llQ.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.2 Linear Combinations-9QXnOwSOoWA.mkv_1.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.1.1 Eigenvectors and Eigenvalues-yh5ABTeNUpE.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.1 Introduction to Determinants-UWaeMiP_vK8.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.2 Column Spaces-2L0qOtgu9eE.mkv_1.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.5.1 The Dimension of a Vector Space-jk6YPdIIJUg.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.1 The Row Space-4TpVjdY8uGc.mkv_1.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.2.1 Orthogonal Sets-zd1hPXMwWhs.mkv_1.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.1 Vector Spaces-QMwwplztQfY.mkv_1.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.3.1 Characterizations of Invertible Matrices-Ht2Zl0Hfg_I.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.2 Subspace of a Vector Space-2Ee2B1Jp5ZE.mkv_0.jpg 1.5 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 6.1.2 Slope Fields-a-twqOEqkdA.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.2 Special Ways to Determine Linear Independence-EdLoNRo0s28.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.1 Determinants and the IMT-XMWBC5_rFpI.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.8.1 Matrix Transformations-oo2ej9M49Tw.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.1 Inner Product, Vector Length and Distance-C2iKgnGby0I.mkv_0.jpg 1.5 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.3.2 The Spanning Set Theorem-atwUmR-qpfk.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 5.2.2 The Characteristic Equation-a7KAdb2zqvg.mkv_0.jpg 1.4 kB
Year 1/Semester 2/1. Calculus part 2/Calclulus II - 10.1.2 Parabolas-b0O96OOOC9w.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.5.1 Homogeneous System Solutions-ODOztJ6YRUM.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.2.2 Solution Sets and Free Variables-MfeOEdjUfXw.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.1 Null Spaces-Dn7pcKMrU0s.mkv_1.jpg 1.4 kB
Year 1/Semester 2/1. Calculus part 2/Calculus II - 9.3.2 The p-Series-VGDWIOdrpV4.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.5.1 Least Squares Problems-o0N5VVX6K9Y.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.3.1 Orthogonal Decomposition Theorem-fkWCkdBualw.mkv_0.jpg 1.4 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 2.2.1 The Inverse of a Matrix-kCPmiFAdCQ0.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.2.2 Orthogonal Projections-fqbwErsP8Xw.mkv_0.jpg 1.4 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.7.1 Linear Independence-ofGN1Gtgjok.mkv_0.jpg 1.3 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.2 Rank-1MYkWhpuLtY.mkv_1.jpg 1.3 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.3.1 Vector Equations-ztsT5uoWeEE.mkv_0.jpg 1.3 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 3.1.2 Co-factor Expansion-bTf1ixziEO4.mkv_0.jpg 1.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.1.2 Orthogonal Vectors-4yNrSg7b4JA.mkv_0.jpg 1.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 1.4.2 Computation of Ax-mH3Me8P-CO8.mkv_0.jpg 1.3 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.1 The Row Space-4TpVjdY8uGc.mkv_0.jpg 1.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.1 Null Spaces-Dn7pcKMrU0s.mkv_0.jpg 1.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.1.1 Vector Spaces-QMwwplztQfY.mkv_0.jpg 1.2 kB
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Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.2.2 Column Spaces-2L0qOtgu9eE.mkv_0.jpg 1.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 6.2.1 Orthogonal Sets-zd1hPXMwWhs.mkv_0.jpg 1.2 kB
Year 2/Semester 3/5. Linear Algebra/Linear Algebra 4.6.2 Rank-1MYkWhpuLtY.mkv_0.jpg 1.1 kB

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