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[Coursera] University of Washington - Introduction to Data Science [94 MP4, 104 PDF, 112 TXT, 25 HTML, 93 SRT]

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文件列表

  1. 04_NoSQL/02_Eventual_Consistency_18-56.mp4 26MB
  2. 01_Introduction/10_WARNING_USES_OBSOLETE_TWITTER_API_Twitter_Assignment-_Getting_Started.mp4 25MB
  3. 01_Introduction/01_Appetite_Whetting_Part_1_15-38.mp4 24MB
  4. 04_NoSQL/07_Example-_Other_Google_Systems_16-18.mp4 24MB
  5. 04_NoSQL/03_Example-_Memcached_16-37.mp4 23MB
  6. 03_MapReduce/01_Scalability_Basics_16-18.mp4 23MB
  7. 03_MapReduce/09_Parallel_Databases_16-18.mp4 23MB
  8. 04_NoSQL/11_Pig_Join_and_Co-Group_Join_16-10.mp4 22MB
  9. 01_Introduction/08_Big_Data_14-36.mp4 22MB
  10. 01_Introduction/02_Appetite_Whetting_Part_2_13-44.mp4 20MB
  11. 03_MapReduce/11_Experimental_Results-_MR_and_DB_15-01.mp4 20MB
  12. 01_Introduction/05_This_Course_Part_1_14-02.mp4 20MB
  13. 04_NoSQL/08_Response_to_NoSQL_Systems_14-44.mp4 19MB
  14. 06_Topics_in_Machine_Learning_Part_1/06_06_Information_Gain_11-43.mp4 19MB
  15. 03_MapReduce/06_MapReduce_Relational_Join_Social_Example_13-17.mp4 19MB
  16. 02_Relational_Databases_Relational_Algebra/07_SQL_for_Data_Science-_Interpreting_Complicated_SQL_12-12.mp4 18MB
  17. 03_MapReduce/08_MapReduce_Implementation_Overview_13-38.mp4 18MB
  18. 05_Topics_in_Statistics/08_Bayes_Rule_11-53.mp4 18MB
  19. 05_Topics_in_Statistics/06_Recap_and_Big_Data_11-39.mp4 18MB
  20. 05_Topics_in_Statistics/01_Statistics_Intro_10-36.mp4 17MB
  21. 03_MapReduce/03_MapReduce_Abstractions_11-17.mp4 17MB
  22. 06_Topics_in_Machine_Learning_Part_1/12_12_k_Nearest_Neighbors_11-43.mp4 17MB
  23. 06_Topics_in_Machine_Learning_Part_1/11_11_Random_Forests_11-16.mp4 17MB
  24. 01_Introduction/07_eScience_11-46.mp4 17MB
  25. 05_Topics_in_Statistics/05_Multiple_Hypothesis_Testing_11-22.mp4 17MB
  26. 04_NoSQL/10_Pig_Functions_11-41.mp4 16MB
  27. 03_MapReduce/02_Parallel_Processing_Patterns_11-26.mp4 16MB
  28. 06_Topics_in_Machine_Learning_Part_1/07_07_Overfitting_11-04.mp4 16MB
  29. 09_Graph_Analytics/08_08_PRISM_Example_in_Datalog_11-10.mp4 16MB
  30. 03_MapReduce/05_MapReduce_Text_Examples_9-58.mp4 16MB
  31. 02_Relational_Databases_Relational_Algebra/05_Relational_Algebra_Details-_Project_Cross_Product_Equi-Join_11-06.mp4 16MB
  32. 02_Relational_Databases_Relational_Algebra/09_Physical_Optimization_11-14.mp4 16MB
  33. 05_Topics_in_Statistics/04_Fraud_and_Benfords_Law_10-55.mp4 16MB
  34. 02_Relational_Databases_Relational_Algebra/04_Relational_Algebra_Details-_Union_Diff_Select_10-53.mp4 16MB
  35. 02_Relational_Databases_Relational_Algebra/03_Relational_Algebra_Introduction_10-58.mp4 16MB
  36. 06_Topics_in_Machine_Learning_Part_1/05_05_Decision_Trees__Entropy_10-51.mp4 16MB
  37. 07_Topics_in_Machine_Learning_Part_2/03_03_Intuition_for_Logistic_Regression_and_Support_Vector_Machines_10-55.mp4 16MB
  38. 04_NoSQL/06_Example-_BigTable_11-05.mp4 15MB
  39. 06_Topics_in_Machine_Learning_Part_1/08_08_Evaluation_and_Cross-Validation_10-46.mp4 15MB
  40. 04_NoSQL/09_Pig_Intro_12-02.mp4 15MB
  41. 02_Relational_Databases_Relational_Algebra/10_Declarative_Languages_10-30.mp4 15MB
  42. 09_Graph_Analytics/12_12_PageRank_in_MapReduce_and_Pregel_10-42.mp4 15MB
  43. 02_Relational_Databases_Relational_Algebra/01_From_Data_Models_to_Databases_10-35.mp4 15MB
  44. 04_NoSQL/12_Pig_Evaluation_10-11.mp4 14MB
  45. 05_Topics_in_Statistics/03_Effect_Size_Meta-analysis_Heteroskedasticity_9-31.mp4 14MB
  46. 01_Introduction/06_This_Course_Part_2_10-50.mp4 14MB
  47. 04_NoSQL/05_Example-_CouchDB_10-00.mp4 14MB
  48. 02_Relational_Databases_Relational_Algebra/11_Logical_Data_Independence_11-23.mp4 14MB
  49. 09_Graph_Analytics/06_06_Patterns-_Triangles_SPARQL_Datalog_10-02.mp4 14MB
  50. 06_Topics_in_Machine_Learning_Part_1/10_10_Ensembles_Bagging_and_Boosting_09-19.mp4 14MB
  51. 04_NoSQL/04_Example-_Dynamo_10-16.mp4 14MB
  52. 07_Topics_in_Machine_Learning_Part_2/08_08_DBSCAN_09-13.mp4 14MB
  53. 08_Visualization/02_02_Data_Types_9-37.mp4 13MB
  54. 01_Introduction/03_Context_9-30.mp4 13MB
  55. 03_MapReduce/07_MapReduce_Matrix_Multiply_Example_9-31.mp4 13MB
  56. 07_Topics_in_Machine_Learning_Part_2/05_05_Stochastic_Gradient_Descent_Minibatches_Parallelization_08-53.mp4 13MB
  57. 05_Topics_in_Statistics/02_Publication_Bias_8-45.mp4 13MB
  58. 06_Topics_in_Machine_Learning_Part_1/03_03_Rules_Part_1_09-19.mp4 13MB
  59. 04_NoSQL/01_NoSQL_Introduction_8-30.mp4 13MB
  60. 01_Introduction/04_Dimensions_10-24.mp4 13MB
  61. 02_Relational_Databases_Relational_Algebra/02_Motivating_Relational_Algebra_8-57.mp4 13MB
  62. 05_Topics_in_Statistics/07_Bayesian_Intro_7-59.mp4 13MB
  63. 03_MapReduce/04_MapReduce_Pseudocode_7-54.mp4 12MB
  64. 02_Relational_Databases_Relational_Algebra/06_Relational_Algebra_Details-_Theta-Join_8-34.mp4 12MB
  65. 09_Graph_Analytics/10_10_Optimizing_MapReduce_for_Graph_Traversal_08-20.mp4 12MB
  66. 09_Graph_Analytics/07_07_Patterns-_Relational_Algebra_for_Graph_Query_08-26.mp4 12MB
  67. 09_Graph_Analytics/02_02_Structure-_Degree_Histograms_08-14.mp4 12MB
  68. 06_Topics_in_Machine_Learning_Part_1/01_01_Introduction_to_Machine_Learning_Part_1_07-54.mp4 12MB
  69. 09_Graph_Analytics/09_09_Evaluating_Graph_Traversal_Queries_08-29.mp4 12MB
  70. 02_Relational_Databases_Relational_Algebra/08_SQL_for_Data_Science-_User-Defined_Functions_7-59.mp4 11MB
  71. 01_Introduction/09_Logistics_7-42.mp4 11MB
  72. 09_Graph_Analytics/05_05_Traversal-_Spanning_Trees_Circuits_Flows_06-57.mp4 10MB
  73. 08_Visualization/01_01_Introduction_7-17.mp4 10MB
  74. 07_Topics_in_Machine_Learning_Part_2/01_01_Gradient_Descent_Part_1_07-18.mp4 10MB
  75. 07_Topics_in_Machine_Learning_Part_2/04_04_Intuition_for_Regularization_06-59.mp4 10MB
  76. 09_Graph_Analytics/11_11_Graph_Representations_06-51.mp4 10MB
  77. 09_Graph_Analytics/03_03_Structure-_Diameter_Connectivity_Centrality_06-56.mp4 10MB
  78. 08_Visualization/05_05_Visual_Encoding_Part_1_6-38.mp4 10MB
  79. 09_Graph_Analytics/04_04_Traversal-_PageRank_06-37.mp4 9MB
  80. 07_Topics_in_Machine_Learning_Part_2/02_02_Gradient_Descent_Part_2_06-29.mp4 9MB
  81. 03_MapReduce/10_Comparing_MapReduce_and_Databases_06-39.mp4 9MB
  82. 09_Graph_Analytics/01_01_Graph_Basics_06-22.mp4 9MB
  83. 07_Topics_in_Machine_Learning_Part_2/06_06_Unsupervised_Learning_06-11.mp4 9MB
  84. 06_Topics_in_Machine_Learning_Part_1/04_04_Rules_Part_2_05-39.mp4 9MB
  85. 06_Topics_in_Machine_Learning_Part_1/02_02_Introduction_to_Machine_Learning_Part_2_05-23.mp4 8MB
  86. 07_Topics_in_Machine_Learning_Part_2/07_07_K-means_05-56.mp4 8MB
  87. 06_Topics_in_Machine_Learning_Part_1/09_09_The_Bootstrap_04-13.mp4 7MB
  88. 08_Visualization/07_07_Visual_Perception_Part_1_4-39.mp4 7MB
  89. 08_Visualization/08_08_Visual_Perception_Part_2_4-18.mp4 6MB
  90. 08_Visualization/03_03_Data_Types_Exercises_4-07.mp4 6MB
  91. 08_Visualization/09_09_Visual_Perception_Part_3_3-56.mp4 5MB
  92. 08_Visualization/10_10_Evaluation_3-25.mp4 5MB
  93. 08_Visualization/04_04_Data_Dimensions_3-08.mp4 4MB
  94. 08_Visualization/06_06_Visual_Encoding_Part_2_2-54.mp4 4MB
  95. Syllabus/stonebraker-cacm2010.pdf 3MB
  96. 03_MapReduce/02_Parallel_Processing_Patterns_11-26.pdf 3MB
  97. Syllabus/book.pdf 3MB
  98. 01_Introduction/07_eScience_11-46.pdf 3MB
  99. Syllabus/aj_recordLinkage_06.pdf 2MB
  100. 03_MapReduce/03_MapReduce_Abstractions_11-17.pdf 2MB
  101. 07_Topics_in_Machine_Learning_Part_2/01_01_Gradient_Descent_Part_1_07-18.pdf 1MB
  102. entered_login.html 1MB
  103. 01_Introduction/08_Big_Data_14-36.pdf 1MB
  104. 05_Topics_in_Statistics/04_Fraud_and_Benfords_Law_10-55.pdf 1MB
  105. 01_Introduction/02_Appetite_Whetting_Part_2_13-44.pdf 1MB
  106. 01_Introduction/01_Appetite_Whetting_Part_1_15-38.pdf 1MB
  107. 08_Visualization/02_02_Data_Types_9-37.pdf 955KB
  108. 08_Visualization/07_07_Visual_Perception_Part_1_4-39.pdf 885KB
  109. 09_Graph_Analytics/12_12_PageRank_in_MapReduce_and_Pregel_10-42.pdf 804KB
  110. 08_Visualization/05_05_Visual_Encoding_Part_1_6-38.pdf 750KB
  111. 04_NoSQL/08_Response_to_NoSQL_Systems_14-44.pdf 747KB
  112. 03_MapReduce/11_Experimental_Results-_MR_and_DB_15-01.pdf 730KB
  113. 04_NoSQL/07_Example-_Other_Google_Systems_16-18.pdf 729KB
  114. 04_NoSQL/02_Eventual_Consistency_18-56.pdf 718KB
  115. 01_Introduction/05_This_Course_Part_1_14-02.pdf 704KB
  116. 08_Visualization/06_06_Visual_Encoding_Part_2_2-54.pdf 685KB
  117. 08_Visualization/01_01_Introduction_7-17.pdf 674KB
  118. 08_Visualization/04_04_Data_Dimensions_3-08.pdf 671KB
  119. 02_Relational_Databases_Relational_Algebra/10_Declarative_Languages_10-30.pdf 661KB
  120. 05_Topics_in_Statistics/06_Recap_and_Big_Data_11-39.pdf 659KB
  121. 07_Topics_in_Machine_Learning_Part_2/03_03_Intuition_for_Logistic_Regression_and_Support_Vector_Machines_10-55.pdf 640KB
  122. 07_Topics_in_Machine_Learning_Part_2/08_08_DBSCAN_09-13.pdf 637KB
  123. CourseLogistics/R-intro.pdf 621KB
  124. 02_Relational_Databases_Relational_Algebra/01_From_Data_Models_to_Databases_10-35.pdf 620KB
  125. 07_Topics_in_Machine_Learning_Part_2/02_02_Gradient_Descent_Part_2_06-29.pdf 595KB
  126. 04_NoSQL/03_Example-_Memcached_16-37.pdf 586KB
  127. 02_Relational_Databases_Relational_Algebra/07_SQL_for_Data_Science-_Interpreting_Complicated_SQL_12-12.pdf 577KB
  128. 09_Graph_Analytics/09_09_Evaluating_Graph_Traversal_Queries_08-29.pdf 577KB
  129. 05_Topics_in_Statistics/03_Effect_Size_Meta-analysis_Heteroskedasticity_9-31.pdf 568KB
  130. 04_NoSQL/05_Example-_CouchDB_10-00.pdf 562KB
  131. 07_Topics_in_Machine_Learning_Part_2/06_06_Unsupervised_Learning_06-11.pdf 551KB
  132. 04_NoSQL/09_Pig_Intro_12-02.pdf 527KB
  133. 04_NoSQL/01_NoSQL_Introduction_8-30.pdf 525KB
  134. assignments/TwitterSentimentAnalysisinPythonHelpCenter/oconnor+balasubramanyan+routledge+smith.icwsm10.pdf 518KB
  135. 03_MapReduce/08_MapReduce_Implementation_Overview_13-38.pdf 501KB
  136. 02_Relational_Databases_Relational_Algebra/06_Relational_Algebra_Details-_Theta-Join_8-34.pdf 492KB
  137. 07_Topics_in_Machine_Learning_Part_2/05_05_Stochastic_Gradient_Descent_Minibatches_Parallelization_08-53.pdf 490KB
  138. 07_Topics_in_Machine_Learning_Part_2/04_04_Intuition_for_Regularization_06-59.pdf 490KB
  139. 06_Topics_in_Machine_Learning_Part_1/03_03_Rules_Part_1_09-19.pdf 484KB
  140. 04_NoSQL/06_Example-_BigTable_11-05.pdf 483KB
  141. 09_Graph_Analytics/02_02_Structure-_Degree_Histograms_08-14.pdf 482KB
  142. 06_Topics_in_Machine_Learning_Part_1/05_05_Decision_Trees__Entropy_10-51.pdf 477KB
  143. 02_Relational_Databases_Relational_Algebra/11_Logical_Data_Independence_11-23.pdf 469KB
  144. 09_Graph_Analytics/06_06_Patterns-_Triangles_SPARQL_Datalog_10-02.pdf 468KB
  145. 05_Topics_in_Statistics/05_Multiple_Hypothesis_Testing_11-22.pdf 467KB
  146. 04_NoSQL/04_Example-_Dynamo_10-16.pdf 466KB
  147. 08_Visualization/08_08_Visual_Perception_Part_2_4-18.pdf 450KB
  148. 09_Graph_Analytics/10_10_Optimizing_MapReduce_for_Graph_Traversal_08-20.pdf 438KB
  149. 01_Introduction/03_Context_9-30.pdf 430KB
  150. 02_Relational_Databases_Relational_Algebra/09_Physical_Optimization_11-14.pdf 427KB
  151. 08_Visualization/03_03_Data_Types_Exercises_4-07.pdf 424KB
  152. 09_Graph_Analytics/11_11_Graph_Representations_06-51.pdf 424KB
  153. 06_Topics_in_Machine_Learning_Part_1/06_06_Information_Gain_11-43.pdf 419KB
  154. 09_Graph_Analytics/01_01_Graph_Basics_06-22.pdf 411KB
  155. 05_Topics_in_Statistics/08_Bayes_Rule_11-53.pdf 409KB
  156. 05_Topics_in_Statistics/02_Publication_Bias_8-45.pdf 408KB
  157. 09_Graph_Analytics/05_05_Traversal-_Spanning_Trees_Circuits_Flows_06-57.pdf 400KB
  158. 09_Graph_Analytics/03_03_Structure-_Diameter_Connectivity_Centrality_06-56.pdf 399KB
  159. Syllabus/survey2.pdf 392KB
  160. Home/p1318-chattopadhyay.pdf 386KB
  161. 03_MapReduce/09_Parallel_Databases_16-18.pdf 385KB
  162. 01_Introduction/06_This_Course_Part_2_10-50.pdf 383KB
  163. 02_Relational_Databases_Relational_Algebra/05_Relational_Algebra_Details-_Project_Cross_Product_Equi-Join_11-06.pdf 381KB
  164. 02_Relational_Databases_Relational_Algebra/04_Relational_Algebra_Details-_Union_Diff_Select_10-53.pdf 364KB
  165. 06_Topics_in_Machine_Learning_Part_1/07_07_Overfitting_11-04.pdf 347KB
  166. 01_Introduction/09_Logistics_7-42.pdf 345KB
  167. 03_MapReduce/05_MapReduce_Text_Examples_9-58.pdf 338KB
  168. 04_NoSQL/12_Pig_Evaluation_10-11.pdf 336KB
  169. 08_Visualization/09_09_Visual_Perception_Part_3_3-56.pdf 330KB
  170. 06_Topics_in_Machine_Learning_Part_1/01_01_Introduction_to_Machine_Learning_Part_1_07-54.pdf 329KB
  171. 03_MapReduce/06_MapReduce_Relational_Join_Social_Example_13-17.pdf 326KB
  172. 03_MapReduce/07_MapReduce_Matrix_Multiply_Example_9-31.pdf 318KB
  173. 08_Visualization/10_10_Evaluation_3-25.pdf 298KB
  174. 02_Relational_Databases_Relational_Algebra/02_Motivating_Relational_Algebra_8-57.pdf 294KB
  175. Syllabus/os-giraph-pdf.pdf 290KB
  176. 06_Topics_in_Machine_Learning_Part_1/09_09_The_Bootstrap_04-13.pdf 285KB
  177. 01_Introduction/04_Dimensions_10-24.pdf 282KB
  178. 09_Graph_Analytics/04_04_Traversal-_PageRank_06-37.pdf 279KB
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  182. 06_Topics_in_Machine_Learning_Part_1/10_10_Ensembles_Bagging_and_Boosting_09-19.pdf 242KB
  183. 04_NoSQL/11_Pig_Join_and_Co-Group_Join_16-10.pdf 234KB
  184. 03_MapReduce/01_Scalability_Basics_16-18.pdf 224KB
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  239. 01_Introduction/02_Appetite_Whetting_Part_2_13-44.srt 18KB
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  242. 03_MapReduce/06_MapReduce_Relational_Join_Social_Example_13-17.srt 18KB
  243. 06_Topics_in_Machine_Learning_Part_1/06_06_Information_Gain_11-43.srt 17KB
  244. 03_MapReduce/03_MapReduce_Abstractions_11-17.srt 17KB
  245. 02_Relational_Databases_Relational_Algebra/03_Relational_Algebra_Introduction_10-58.srt 17KB
  246. 06_Topics_in_Machine_Learning_Part_1/07_07_Overfitting_11-04.srt 17KB
  247. 05_Topics_in_Statistics/06_Recap_and_Big_Data_11-39.srt 17KB
  248. 09_Graph_Analytics/08_08_PRISM_Example_in_Datalog_11-10.srt 17KB
  249. 02_Relational_Databases_Relational_Algebra/09_Physical_Optimization_11-14.srt 17KB
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