Data Structures, Algorithms, and Machine Learning Optimization--- Coursesghar -移花宫-武林禁地，闲人禁止入内

Data Structures, Algorithms, and Machine Learning Optimization--- Coursesghar

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Data Structures, Algorithms, and Machine Learning Optimization--- Coursesghar

磁力链接/BT种子简介

种子哈希：59eb289c7978327b733380bc590bcef1cd6e0dc7
文件大小： 14.52G
已经下载：758次
下载速度：极快
收录时间：2022-05-14
最近下载：2025-08-31

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文件列表

8.6 Gradient Descent from Scratch with PyTorch-1_b9c5to06.mp4 988.7 MB
4.4 Quick Sort-1_alqbo35e.mp4 881.8 MB
4.3 Merge Sort-1_bvp4hwmr.mp4 878.6 MB
4.1 Binary Search-1_sgp6ncjp.mp4 693.9 MB
8.8 Stochastic Gradient Descent-1_4ugi2e0l.mp4 625.0 MB
6.2 Decision Trees-1_a1kf47jd.mp4 609.9 MB
2.6 Best versus Worst Case-1_3s3zu6v7.mp4 601.9 MB
8.1 Statistics versus Machine Learning-1_ryhdp03c.mp4 585.1 MB
8.9 Learning Rate Scheduling-1_rbn74jj8.mp4 504.1 MB
4.2 Bubble Sort-1_0rciok4o.mp4 419.2 MB
8.2 Objective Functions-1_mfqn5miw.mp4 408.6 MB
8.4 Mean Squared Error-1_2ijm8zs5.mp4 403.2 MB
6.4 XGBoost - Gradient-Boosted Trees-1_nqqqkuut.mp4 378.0 MB
2.2 Constant Time-1_mvmme7tc.mp4 344.2 MB
2.1 Introduction-1_3m8jqstj.mp4 337.4 MB
6.3 Random Forests-1_tdzchlbt.mp4 332.1 MB
7.3 DAGs - Directed Acyclic Graphs-1_6e7vwpti.mp4 324.6 MB
5.3 Hash Functions-1_69rzqd81.mp4 318.3 MB
1.2 A Brief History of Data-1_2b15gjsa.mp4 303.3 MB
2.3 Linear Time-1_lbtul2fd.mp4 285.2 MB
3.2 Arrays-1_ng1ex7u7.mp4 281.7 MB
9.4 Adaptive Optimizers-1_iiaajhex.mp4 270.2 MB
8.7 Critical Points-1_dqtjm5pa.mp4 242.1 MB
9.5 Congratulations and Next Steps-1_2f5dvgbj.mp4 235.3 MB
9.1 Jacobian Matrices-1_locjc786.mp4 229.6 MB
Data Structures, Algorithms, and Machine Learning Optimization - Introduction-1_obd37x4i.mp4 219.6 MB
3.7 Deques-1_qiae1dix.mp4 216.0 MB
2.4 Polynomial Time-1_azvfdac9.mp4 207.6 MB
5.4 Collisions-1_hueopo2v.mp4 204.9 MB
5.1 Maps and Dictionaries-1_jlghq9fx.mp4 193.8 MB
5.7 String Keys-1_9yrxbkmz.mp4 185.7 MB
8.5 Minimizing Cost with Gradient Descent-1_6csagyw7.mp4 168.8 MB
8.3 Mean Absolute Error-1_o25rl6gv.mp4 159.0 MB
6.1 Introduction-1_vige31cl.mp4 155.7 MB
2.5 Common Runtimes-1_oc6ntre1.mp4 153.6 MB
5.8 Hashing in ML-1_hd4ofvqr.mp4 136.2 MB
3.5 Stacks-1_km4ks6ba.mp4 130.7 MB
5.2 Sets-1_1fu7r32o.mp4 120.3 MB
9.3 Momentum-1_2t8nos0w.mp4 119.4 MB
9.2 Second-Order Optimization and Hessians-1_p3snmxzz.mp4 117.5 MB
5.6 Hash Maps-1_xgfoxj80.mp4 113.7 MB
1.3 A Brief History of Algorithms-1_t7p43t0a.mp4 113.5 MB
5.5 Load Factor-1_1o6rzf14.mp4 103.6 MB
3.3 Linked Lists-1_9mdvvbl1.mp4 101.6 MB
8.10 Maximizing Reward with Gradient Ascent-1_sjmahkxl.mp4 91.3 MB
1.1 Orientation to the Machine Learning Foundations Series-1_j225u2zw.mp4 89.3 MB
1.4 Applications to Machine Learning-1_0mwik9nq.mp4 85.2 MB
3.1 Lists-1_xq8t62k3.mp4 80.3 MB
6.5 Additional Concepts-1_pe96vxli.mp4 76.3 MB
7.1 Introduction-1_zrs05h1z.mp4 75.3 MB
3.6 Queues-1_fb1syknh.mp4 69.5 MB
Data Structures, Algorithms, and Machine Learning Optimization - Summary-1_c7y8c31a.mp4 63.6 MB
7.5 Bonus - Pandas DataFrames-1_0qdxrtbz.mp4 60.0 MB
7.6 Resources for Further Study of DSA-1_yotxi7qk.mp4 56.5 MB
Topics-1_ojmlg5t3.mp4 50.2 MB
7.4 Additional Concepts-1_gs4yyv04.mp4 49.3 MB
3.4 Doubly-Linked Lists-1_mg3e611v.mp4 47.0 MB
7.2 Directed versus Undirected Graphs-1_8owxblcg.mp4 43.9 MB
Topics-1_lnxw7w1d.mp4 41.7 MB
Topics-1_14lwnrox.mp4 40.3 MB
Topics-1_h8oxrxkq.mp4 34.7 MB
Topics-1_9l2kqjwl.mp4 31.7 MB
Topics-1_6t08jff9.mp4 29.7 MB
Topics-1_k8xqbx14.mp4 26.7 MB
Topics-1_il0kt54q.mp4 24.0 MB
Topics-1_z0h0ef88.mp4 20.2 MB
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