Coursera - Introduction to Data Science (2013)

磁力链接/BT种子名称

Coursera - Introduction to Data Science (2013)

磁力链接/BT种子简介

种子哈希：b5e65a014aaba80a0b7e3d0871b8a332f83557f4
文件大小： 3.88G
已经下载：4584次
下载速度：极快
收录时间：2017-02-21
最近下载：2025-08-31

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:B5E65A014AABA80A0B7E3D0871B8A332F83557F4
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 她趣 TikTok成人版 PornHub 听泉鉴鲍 草榴社区 哆哔涩漫 呦乐园 萝莉岛

最近搜索

文件列表

  • virtual machine/Coursera-Data-Science-Ubuntu.ova 2.5 GB
  • soft/TableauDesktop.exe 91.6 MB
  • video-extra/Introduction to JSMapreduce.mp4 51.3 MB
  • video/8 - 2 - Eventual Consistency (1856).mp4 27.2 MB
  • video/1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp4 26.5 MB
  • video/1 - 1 - Appetite Whetting Part 1 (1538).mp4 25.1 MB
  • video/8 - 7 - Example Other Google Systems (1618).mp4 24.9 MB
  • video/8 - 3 - Example Memcached (1637).mp4 24.4 MB
  • video/3 - 1 - Scalability Basics (1618).mp4 24.4 MB
  • video/3 - 9 - Parallel Databases (1618).mp4 23.8 MB
  • video/8 - 11 - Pig Join and Co-Group Join (1610).mp4 23.5 MB
  • video/1 - 8 - Big Data (1436).mp4 22.9 MB
  • video/10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp4 22.3 MB
  • video/1 - 2 - Appetite Whetting Part 2 (1344).mp4 21.2 MB
  • video/3 - 11 - Experimental Results MR and DB (1501).mp4 21.1 MB
  • video/1 - 5 - This Course Part 1 (1402).mp4 20.6 MB
  • video/8 - 8 - Response to NoSQL Systems (1444).mp4 20.3 MB
  • video/5 - 6 - 06 Information Gain (1143).mp4 20.2 MB
  • video/3 - 6 - MapReduce Relational Join Social Example (1317).mp4 19.6 MB
  • video/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp4 19.1 MB
  • video/3 - 8 - MapReduce Implementation Overview (1338).mp4 18.9 MB
  • video/4 - 8 - Bayes Rule (1153).mp4 18.5 MB
  • video/4 - 6 - Recap and Big Data (1139).mp4 18.4 MB
  • video/1 - 9 - Guest Lecture Biomedical Informatics (1024).mp4 18.1 MB
  • video/4 - 1 - Statistics Intro (1036).mp4 17.7 MB
  • video/3 - 3 - MapReduce Abstractions (1117).mp4 17.7 MB
  • video/5 - 12 - 12 k Nearest Neighbors (1143).mp4 17.7 MB
  • video/5 - 11 - 11 Random Forests (1116).mp4 17.6 MB
  • video/1 - 7 - eScience (1146).mp4 17.6 MB
  • video/4 - 5 - Multiple Hypothesis Testing (1122).mp4 17.3 MB
  • video/8 - 10 - Pig Functions (1141).mp4 17.3 MB
  • video/3 - 2 - Parallel Processing Patterns (1126).mp4 17.2 MB
  • video/5 - 7 - 07 Overfitting (1104).mp4 17.0 MB
  • video/7 - 8 - 08 PRISM Example in Datalog (1110).mp4 17.0 MB
  • video/3 - 5 - MapReduce Text Examples (958).mp4 16.9 MB
  • video/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp4 16.8 MB
  • video/2 - 9 - Physical Optimization (1114).mp4 16.8 MB
  • video/4 - 4 - Fraud and Benfords Law (1055).mp4 16.8 MB
  • video/2 - 4 - Relational Algebra Details Union Diff Select (1053).mp4 16.6 MB
  • video/2 - 3 - Relational Algebra Introduction (1058).mp4 16.5 MB
  • video/5 - 5 - 05 Decision Trees Entropy (1051).mp4 16.5 MB
  • video/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp4 16.3 MB
  • video/8 - 6 - Example BigTable (1105).mp4 16.2 MB
  • video/5 - 8 - 08 Evaluation and Cross-Validation (1046).mp4 16.2 MB
  • video/8 - 9 - Pig Intro (1202).mp4 16.1 MB
  • video/2 - 10 - Declarative Languages (1030).mp4 16.0 MB
  • video/7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp4 15.8 MB
  • video/2 - 1 - From Data Models to Databases (1035).mp4 15.6 MB
  • video/8 - 12 - Pig Evaluation (1011).mp4 15.1 MB
  • video/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp4 14.8 MB
  • video/1 - 6 - This Course Part 2 (1050).mp4 14.8 MB
  • video/8 - 5 - Example CouchDB (1000).mp4 14.7 MB
  • video/2 - 11 - Logical Data Independence (1123).mp4 14.7 MB
  • video/7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp4 14.6 MB
  • video/5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp4 14.5 MB
  • video/8 - 4 - Example Dynamo (1016).mp4 14.5 MB
  • video/9 - 8 - 08 DBSCAN (0913).mp4 14.4 MB
  • video/6 - 2 - 02 Data Types (937).mp4 14.1 MB
  • video/1 - 3 - Context (930).mp4 14.1 MB
  • video/3 - 7 - MapReduce Matrix Multiply Example (931).mp4 13.8 MB
  • video/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp4 13.6 MB
  • video/4 - 2 - Publication Bias (845).mp4 13.6 MB
  • video/10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp4 13.6 MB
  • video/5 - 3 - 03 Rules Part 1 (0919).mp4 13.5 MB
  • video/8 - 1 - NoSQL Introduction (830).mp4 13.4 MB
  • video/1 - 4 - Dimensions (1024).mp4 13.4 MB
  • video/2 - 2 - Motivating Relational Algebra (857).mp4 13.3 MB
  • video/4 - 7 - Bayesian Intro (759).mp4 13.1 MB
  • video/3 - 4 - MapReduce Pseudocode (754).mp4 12.9 MB
  • video/2 - 6 - Relational Algebra Details Theta-Join (834).mp4 12.8 MB
  • video/7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp4 12.8 MB
  • video/7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp4 12.5 MB
  • video/7 - 2 - 02 Structure Degree Histograms (0814).mp4 12.4 MB
  • video/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp4 12.2 MB
  • video/7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp4 12.2 MB
  • video/2 - 8 - SQL for Data Science User-Defined Functions (759).mp4 11.7 MB
  • video/1 - 10 - Logistics (742).mp4 11.4 MB
  • video/7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp4 10.8 MB
  • video/6 - 1 - 01 Introduction (717).mp4 10.7 MB
  • video/9 - 1 - 01 Gradient Descent Part 1 (0718).mp4 10.6 MB
  • video/9 - 4 - 04 Intuition for Regularization (0659).mp4 10.4 MB
  • video/7 - 11 - 11 Graph Representations (0651).mp4 10.1 MB
  • video/7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp4 10.1 MB
  • video/6 - 5 - 05 Visual Encoding (Part 1) (638).mp4 10.1 MB
  • video/7 - 4 - 04 Traversal PageRank (0637).mp4 9.8 MB
  • video/9 - 2 - 02 Gradient Descent Part 2 (0629).mp4 9.5 MB
  • video/3 - 10 - Comparing MapReduce and Databases (0639).mp4 9.4 MB
  • video/7 - 1 - 01 Graph Basics (0622).mp4 9.2 MB
  • video/9 - 6 - 06 Unsupervised Learning (0611).mp4 9.1 MB
  • video/5 - 4 - 04 Rules Part 2 (0539).mp4 9.1 MB
  • video/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp4 8.4 MB
  • video/9 - 7 - 07 K-means (0556).mp4 8.4 MB
  • video/5 - 9 - 09 The Bootstrap (0413).mp4 7.0 MB
  • video/6 - 7 - 07 Visual Perception (Part 1) (439).mp4 6.9 MB
  • assignments/6_VisualizationAssignment.twbx 6.3 MB
  • video/6 - 8 - 08 Visual Perception (Part 2) (418).mp4 6.3 MB
  • video/6 - 3 - 03 Data Types (Exercises) (407).mp4 6.2 MB
  • video/6 - 9 - 09 Visual Perception (Part 3) (356).mp4 5.6 MB
  • video/6 - 10 - 10 Evaluation (325).mp4 5.3 MB
  • video/6 - 4 - 04 Data Dimensions (308).mp4 4.6 MB
  • video/6 - 6 - 06 Visual Encoding (Part 2) (254).mp4 4.4 MB
  • slides/016_parallel_thinking.pdf 3.3 MB
  • slides/005_escience.pdf 2.7 MB
  • slides/017_map_reduce_abstraction.pdf 2.3 MB
  • slides/059_gradient_descent_part_1.pdf 1.4 MB
  • slides/006_big_data.pdf 1.3 MB
  • slides/041_fraud_benfords_law.pdf 1.3 MB
  • slides/000b_appetite_whetting_2.pdf 1.2 MB
  • slides/000_appetite_whetting_1.pdf 1.0 MB
  • slides/Infovis Aragon 2 Data Types.pdf 977.6 kB
  • slides/Infovis Aragon 7 Visual Perception (Part 1).pdf 905.9 kB
  • docs/Running Tableau on AWS.pdf 895.4 kB
  • slides/087_pagerank_mapreduce_pregel.pdf 822.9 kB
  • slides/Infovis Aragon 5 Visual Encoding (Part 1).pdf 768.0 kB
  • slides/033_nosql_response.pdf 764.5 kB
  • slides/guests-kiji-uw-data-science.pdf 753.7 kB
  • slides/025_mapreduce_and_databases_experiments.pdf 747.6 kB
  • slides/032_other_google_systems.pdf 746.4 kB
  • slides/027_eventual_consistency.pdf 734.9 kB
  • slides/003_this_course_1.pdf 721.1 kB
  • slides/Infovis Aragon 6 Visual Encoding (Part 2).pdf 701.8 kB
  • slides/Infovis Aragon 1 Introduction.pdf 689.7 kB
  • slides/Infovis Aragon 4 Data Dimensions.pdf 686.9 kB
  • slides/013_declarative_languages.pdf 677.2 kB
  • slides/043_recap_and_big_data.pdf 675.2 kB
  • slides/061_intuition_logistic_regression_svms.pdf 655.7 kB
  • slides/066_dbscan.pdf 651.8 kB
  • slides/008_data_models.pdf 635.1 kB
  • slides/060_gradient_descent_part_2.pdf 609.4 kB
  • slides/028_memcached.pdf 599.9 kB
  • slides/011.8_interpreting_complicated_sql.pdf 590.9 kB
  • slides/084_evaluating_recursive_programs.pdf 590.8 kB
  • slides/040_effect_size_meta_analysis_heteroskedasticity.pdf 581.6 kB
  • slides/030_couchdb.pdf 575.7 kB
  • slides/064_unsupervised_learning_copy.pdf 564.2 kB
  • slides/034_pig_intro.pdf 539.7 kB
  • slides/026_nosql_intro.pdf 537.8 kB
  • slides/022_map_reduce_implementation_overview.pdf 512.9 kB
  • slides/011.7_theta_join.pdf 503.9 kB
  • slides/063_stochastic_gradient_descent.pdf 502.1 kB
  • slides/062_intuition_regularization.pdf 501.9 kB
  • slides/049_rules_1.pdf 495.8 kB
  • slides/031_bigtable.pdf 494.8 kB
  • slides/077b_graph_histograms.pdf 493.4 kB
  • slides/051_intro_trees.pdf 488.1 kB
  • slides/014_logical_data_independence.pdf 480.2 kB
  • slides/081_pattern_matching.pdf 478.7 kB
  • slides/042_multiple_hypothesis_testing_CORRECTED.pdf 478.7 kB
  • slides/029_dynamo.pdf 477.4 kB
  • slides/Infovis Aragon 8 Visual Perception (Part 2).pdf 460.6 kB
  • slides/085_optimizing_recursive_programs_in_mr.pdf 448.4 kB
  • slides/001_context.pdf 439.9 kB
  • slides/012_physical_optimization.pdf 437.4 kB
  • slides/Infovis Aragon 3 Data Types (Exercises).pdf 434.2 kB
  • slides/086_graph_representations.pdf 433.9 kB
  • slides/052_information_gain.pdf 428.8 kB
  • slides/045_bayes_rule.pdf 419.2 kB
  • slides/039_publication_bias.pdf 418.1 kB
  • slides/080_traversal_tasks.pdf 409.6 kB
  • slides/078_structural_analysis_tasks.pdf 408.4 kB
  • slides/023_parallel_databases.pdf 394.7 kB
  • slides/004_this_course_2.pdf 392.1 kB
  • slides/011.6_relational_algebra_project_cross_equijoin.pdf 389.9 kB
  • slides/011.5_relational_algebra_union_diff_select.pdf 373.1 kB
  • slides/053_overfitting.pdf 354.9 kB
  • slides/007_logistics.pdf 353.5 kB
  • slides/019_map_reduce_text_examples.pdf 345.7 kB
  • slides/037_pig_evaluation.pdf 344.1 kB
  • slides/Infovis Aragon 9 Visual Perception (Part 3).pdf 338.2 kB
  • slides/047_overview_machine_learning.pdf 336.4 kB
  • slides/020_map_reduce_join_social_examples.pdf 333.9 kB
  • slides/021_map_reduce_matrix_multiply.pdf 325.7 kB
  • slides/Infovis Aragon 10 Evaluation.pdf 305.5 kB
  • slides/009_relational_motivation.pdf 301.4 kB
  • slides/055_bootstrap.pdf 291.5 kB
  • slides/002_dimensions.pdf 288.5 kB
  • slides/079_pagerank.pdf 285.3 kB
  • slides/050_rules_2.pdf 285.2 kB
  • slides/054_evaluation_thresholds.pdf 277.1 kB
  • assignments/4_aws-setup.pdf 276.9 kB
  • assignments/1_instructions.pdf 267.2 kB
  • assignments/4_quiz.pdf 263.9 kB
  • assignments/3_js_quiz.pdf 261.6 kB
  • slides/056_ensembles_and_boosting.pdf 248.0 kB
  • slides/036_cogroup_join.pdf 239.3 kB
  • slides/015_scalability.pdf 229.3 kB
  • docs/Syllabus.pdf 207.7 kB
  • assignments/2_instructions.pdf 200.1 kB
  • slides/035_pig_load_filter_group_foreach.pdf 195.6 kB
  • slides/guests-datameer_beyond_mapreduce.pdf 193.3 kB
  • slides/058_nearest_neighbor.pdf 192.4 kB
  • slides/065_kmeans.pdf 185.5 kB
  • slides/010_relational_algebra_intro.pdf 160.5 kB
  • slides/038_stats_intro.pdf 152.2 kB
  • slides/083_prism_example.pdf 150.6 kB
  • assignments/3_python_instructions.pdf 145.7 kB
  • docs/Github Instructions.pdf 130.9 kB
  • docs/Course Logistics.pdf 126.8 kB
  • slides/044_intro_bayesian.pdf 106.0 kB
  • slides/024_mapreduce_and_databases.pdf 97.1 kB
  • slides/018_map_reduce_pseudocode.pdf 96.4 kB
  • slides/048_intro_machine_learning_2.pdf 95.2 kB
  • slides/082_relational_algebra_for_graph_tasks.pdf 93.6 kB
  • docs/Class Virtual Machine.pdf 90.7 kB
  • slides/057_random_forests.pdf 89.6 kB
  • docs/Python Resources.pdf 85.6 kB
  • slides/011.9_user_defined_functions.pdf 63.1 kB
  • subtitles/8 - 2 - Eventual Consistency (1856).srt 29.3 kB
  • subtitles/1 - 8 - Big Data (1436).srt 25.5 kB
  • subtitles/8 - 7 - Example Other Google Systems (1618).srt 25.3 kB
  • subtitles/3 - 9 - Parallel Databases (1618).srt 24.9 kB
  • subtitles/3 - 1 - Scalability Basics (1618).srt 24.1 kB
  • subtitles/8 - 3 - Example Memcached (1637).srt 23.9 kB
  • subtitles/8 - 11 - Pig Join and Co-Group Join (1610).srt 23.2 kB
  • subtitles/1 - 5 - This Course Part 1 (1402).srt 23.0 kB
  • subtitles/1 - 1 - Appetite Whetting Part 1 (1538).srt 22.9 kB
  • subtitles/8 - 8 - Response to NoSQL Systems (1444).srt 22.6 kB
  • subtitles/3 - 11 - Experimental Results MR and DB (1501).srt 20.2 kB
  • subtitles/3 - 8 - MapReduce Implementation Overview (1338).srt 20.2 kB
  • subtitles/1 - 7 - eScience (1146).srt 19.7 kB
  • subtitles/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).srt 19.0 kB
  • subtitles/1 - 2 - Appetite Whetting Part 2 (1344).srt 18.5 kB
  • subtitles/8 - 9 - Pig Intro (1202).srt 18.5 kB
  • subtitles/2 - 1 - From Data Models to Databases (1035).srt 18.2 kB
  • subtitles/3 - 6 - MapReduce Relational Join Social Example (1317).srt 18.2 kB
  • subtitles/5 - 6 - 06 Information Gain (1143).srt 17.7 kB
  • subtitles/3 - 3 - MapReduce Abstractions (1117).srt 17.3 kB
  • subtitles/2 - 3 - Relational Algebra Introduction (1058).srt 17.2 kB
  • subtitles/5 - 7 - 07 Overfitting (1104).srt 17.0 kB
  • subtitles/4 - 6 - Recap and Big Data (1139).srt 17.0 kB
  • subtitles/2 - 9 - Physical Optimization (1114).srt 16.9 kB
  • subtitles/1 - 4 - Dimensions (1024).srt 16.9 kB
  • subtitles/1 - 6 - This Course Part 2 (1050).srt 16.8 kB
  • subtitles/3 - 2 - Parallel Processing Patterns (1126).srt 16.7 kB
  • subtitles/5 - 11 - 11 Random Forests (1116).srt 16.5 kB
  • subtitles/8 - 10 - Pig Functions (1141).srt 16.3 kB
  • subtitles/5 - 12 - 12 k Nearest Neighbors (1143).srt 16.0 kB
  • subtitles/1 - 3 - Context (930).srt 16.0 kB
  • subtitles/4 - 8 - Bayes Rule (1153).srt 16.0 kB
  • subtitles/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).srt 16.0 kB
  • subtitles/8 - 6 - Example BigTable (1105).srt 15.9 kB
  • subtitles/4 - 1 - Statistics Intro (1036).srt 15.9 kB
  • subtitles/4 - 5 - Multiple Hypothesis Testing (1122).srt 15.9 kB
  • subtitles/2 - 4 - Relational Algebra Details Union Diff Select (1053).srt 15.7 kB
  • subtitles/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).srt 15.6 kB
  • subtitles/8 - 5 - Example CouchDB (1000).srt 15.5 kB
  • subtitles/5 - 8 - 08 Evaluation and Cross-Validation (1046).srt 15.4 kB
  • subtitles/8 - 12 - Pig Evaluation (1011).srt 15.4 kB
  • subtitles/2 - 11 - Logical Data Independence (1123).srt 15.0 kB
  • subtitles/4 - 4 - Fraud and Benfords Law (1055).srt 14.6 kB
  • subtitles/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).srt 14.6 kB
  • subtitles/5 - 5 - 05 Decision Trees Entropy (1051).srt 14.5 kB
  • subtitles/2 - 10 - Declarative Languages (1030).srt 14.4 kB
  • subtitles/8 - 4 - Example Dynamo (1016).srt 13.9 kB
  • subtitles/2 - 2 - Motivating Relational Algebra (857).srt 13.7 kB
  • subtitles/5 - 10 - 10 Ensembles Bagging and Boosting (0919).srt 13.6 kB
  • subtitles/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).srt 13.5 kB
  • subtitles/8 - 1 - NoSQL Introduction (830).srt 13.5 kB
  • subtitles/9 - 8 - 08 DBSCAN (0913).srt 13.3 kB
  • subtitles/3 - 5 - MapReduce Text Examples (958).srt 13.3 kB
  • subtitles/1 - 9 - Guest Lecture Biomedical Informatics (1024).srt 13.3 kB
  • subtitles/5 - 3 - 03 Rules Part 1 (0919).srt 13.3 kB
  • subtitles/6 - 2 - 02 Data Types (937).srt 12.9 kB
  • subtitles/2 - 6 - Relational Algebra Details Theta-Join (834).srt 12.6 kB
  • subtitles/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).srt 12.6 kB
  • subtitles/1 - 10 - Logistics (742).srt 12.5 kB
  • subtitles/4 - 2 - Publication Bias (845).srt 12.4 kB
  • subtitles/9 - 1 - 01 Gradient Descent Part 1 (0718).srt 11.5 kB
  • subtitles/2 - 8 - SQL for Data Science User-Defined Functions (759).srt 11.4 kB
  • subtitles/3 - 10 - Comparing MapReduce and Databases (0639).srt 11.3 kB
  • subtitles/4 - 7 - Bayesian Intro (759).srt 11.1 kB
  • subtitles/9 - 4 - 04 Intuition for Regularization (0659).srt 10.6 kB
  • subtitles/3 - 4 - MapReduce Pseudocode (754).srt 10.5 kB
  • subtitles/9 - 6 - 06 Unsupervised Learning (0611).srt 10.4 kB
  • subtitles/3 - 7 - MapReduce Matrix Multiply Example (931).srt 10.2 kB
  • subtitles/6 - 1 - 01 Introduction (717).srt 10.1 kB
  • subtitles/9 - 2 - 02 Gradient Descent Part 2 (0629).srt 9.3 kB
  • subtitles/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).srt 8.2 kB
  • subtitles/6 - 5 - 05 Visual Encoding (Part 1) (638).srt 8.0 kB
  • subtitles/5 - 4 - 04 Rules Part 2 (0539).srt 7.7 kB
  • subtitles/9 - 7 - 07 K-means (0556).srt 7.5 kB
  • subtitles/6 - 7 - 07 Visual Perception (Part 1) (439).srt 6.4 kB
  • subtitles/5 - 9 - 09 The Bootstrap (0413).srt 6.1 kB
  • subtitles/6 - 8 - 08 Visual Perception (Part 2) (418).srt 5.4 kB
  • subtitles/6 - 3 - 03 Data Types (Exercises) (407).srt 5.0 kB
  • subtitles/6 - 9 - 09 Visual Perception (Part 3) (356).srt 4.5 kB
  • subtitles/6 - 10 - 10 Evaluation (325).srt 4.3 kB
  • subtitles/6 - 4 - 04 Data Dimensions (308).srt 4.0 kB
  • subtitles/6 - 6 - 06 Visual Encoding (Part 2) (254).srt 3.6 kB
  • virtual machine/tips.txt 856 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！