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Coursera - Introduction to Data Science (2013)

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  • 文件大小:4GB
  • 下载次数:279
  • 最近下载:2021-01-08 14:44:24
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文件列表

  1. virtual machine/Coursera-Data-Science-Ubuntu.ova 2GB
  2. soft/TableauDesktop.exe 87MB
  3. video-extra/Introduction to JSMapreduce.mp4 49MB
  4. video/8 - 2 - Eventual Consistency (1856).mp4 26MB
  5. video/1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp4 25MB
  6. video/1 - 1 - Appetite Whetting Part 1 (1538).mp4 24MB
  7. video/8 - 7 - Example Other Google Systems (1618).mp4 24MB
  8. video/8 - 3 - Example Memcached (1637).mp4 23MB
  9. video/3 - 1 - Scalability Basics (1618).mp4 23MB
  10. video/3 - 9 - Parallel Databases (1618).mp4 23MB
  11. video/8 - 11 - Pig Join and Co-Group Join (1610).mp4 22MB
  12. video/1 - 8 - Big Data (1436).mp4 22MB
  13. video/10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp4 21MB
  14. video/1 - 2 - Appetite Whetting Part 2 (1344).mp4 20MB
  15. video/3 - 11 - Experimental Results MR and DB (1501).mp4 20MB
  16. video/1 - 5 - This Course Part 1 (1402).mp4 20MB
  17. video/8 - 8 - Response to NoSQL Systems (1444).mp4 19MB
  18. video/5 - 6 - 06 Information Gain (1143).mp4 19MB
  19. video/3 - 6 - MapReduce Relational Join Social Example (1317).mp4 19MB
  20. video/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp4 18MB
  21. video/3 - 8 - MapReduce Implementation Overview (1338).mp4 18MB
  22. video/4 - 8 - Bayes Rule (1153).mp4 18MB
  23. video/4 - 6 - Recap and Big Data (1139).mp4 18MB
  24. video/1 - 9 - Guest Lecture Biomedical Informatics (1024).mp4 17MB
  25. video/4 - 1 - Statistics Intro (1036).mp4 17MB
  26. video/3 - 3 - MapReduce Abstractions (1117).mp4 17MB
  27. video/5 - 12 - 12 k Nearest Neighbors (1143).mp4 17MB
  28. video/5 - 11 - 11 Random Forests (1116).mp4 17MB
  29. video/1 - 7 - eScience (1146).mp4 17MB
  30. video/4 - 5 - Multiple Hypothesis Testing (1122).mp4 17MB
  31. video/8 - 10 - Pig Functions (1141).mp4 16MB
  32. video/3 - 2 - Parallel Processing Patterns (1126).mp4 16MB
  33. video/5 - 7 - 07 Overfitting (1104).mp4 16MB
  34. video/7 - 8 - 08 PRISM Example in Datalog (1110).mp4 16MB
  35. video/3 - 5 - MapReduce Text Examples (958).mp4 16MB
  36. video/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp4 16MB
  37. video/2 - 9 - Physical Optimization (1114).mp4 16MB
  38. video/4 - 4 - Fraud and Benfords Law (1055).mp4 16MB
  39. video/2 - 4 - Relational Algebra Details Union Diff Select (1053).mp4 16MB
  40. video/2 - 3 - Relational Algebra Introduction (1058).mp4 16MB
  41. video/5 - 5 - 05 Decision Trees Entropy (1051).mp4 16MB
  42. video/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp4 16MB
  43. video/8 - 6 - Example BigTable (1105).mp4 15MB
  44. video/5 - 8 - 08 Evaluation and Cross-Validation (1046).mp4 15MB
  45. video/8 - 9 - Pig Intro (1202).mp4 15MB
  46. video/2 - 10 - Declarative Languages (1030).mp4 15MB
  47. video/7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp4 15MB
  48. video/2 - 1 - From Data Models to Databases (1035).mp4 15MB
  49. video/8 - 12 - Pig Evaluation (1011).mp4 14MB
  50. video/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp4 14MB
  51. video/1 - 6 - This Course Part 2 (1050).mp4 14MB
  52. video/8 - 5 - Example CouchDB (1000).mp4 14MB
  53. video/2 - 11 - Logical Data Independence (1123).mp4 14MB
  54. video/7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp4 14MB
  55. video/5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp4 14MB
  56. video/8 - 4 - Example Dynamo (1016).mp4 14MB
  57. video/9 - 8 - 08 DBSCAN (0913).mp4 14MB
  58. video/6 - 2 - 02 Data Types (937).mp4 13MB
  59. video/1 - 3 - Context (930).mp4 13MB
  60. video/3 - 7 - MapReduce Matrix Multiply Example (931).mp4 13MB
  61. video/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp4 13MB
  62. video/4 - 2 - Publication Bias (845).mp4 13MB
  63. video/10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp4 13MB
  64. video/5 - 3 - 03 Rules Part 1 (0919).mp4 13MB
  65. video/8 - 1 - NoSQL Introduction (830).mp4 13MB
  66. video/1 - 4 - Dimensions (1024).mp4 13MB
  67. video/2 - 2 - Motivating Relational Algebra (857).mp4 13MB
  68. video/4 - 7 - Bayesian Intro (759).mp4 13MB
  69. video/3 - 4 - MapReduce Pseudocode (754).mp4 12MB
  70. video/2 - 6 - Relational Algebra Details Theta-Join (834).mp4 12MB
  71. video/7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp4 12MB
  72. video/7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp4 12MB
  73. video/7 - 2 - 02 Structure Degree Histograms (0814).mp4 12MB
  74. video/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp4 12MB
  75. video/7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp4 12MB
  76. video/2 - 8 - SQL for Data Science User-Defined Functions (759).mp4 11MB
  77. video/1 - 10 - Logistics (742).mp4 11MB
  78. video/7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp4 10MB
  79. video/6 - 1 - 01 Introduction (717).mp4 10MB
  80. video/9 - 1 - 01 Gradient Descent Part 1 (0718).mp4 10MB
  81. video/9 - 4 - 04 Intuition for Regularization (0659).mp4 10MB
  82. video/7 - 11 - 11 Graph Representations (0651).mp4 10MB
  83. video/7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp4 10MB
  84. video/6 - 5 - 05 Visual Encoding (Part 1) (638).mp4 10MB
  85. video/7 - 4 - 04 Traversal PageRank (0637).mp4 9MB
  86. video/9 - 2 - 02 Gradient Descent Part 2 (0629).mp4 9MB
  87. video/3 - 10 - Comparing MapReduce and Databases (0639).mp4 9MB
  88. video/7 - 1 - 01 Graph Basics (0622).mp4 9MB
  89. video/9 - 6 - 06 Unsupervised Learning (0611).mp4 9MB
  90. video/5 - 4 - 04 Rules Part 2 (0539).mp4 9MB
  91. video/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp4 8MB
  92. video/9 - 7 - 07 K-means (0556).mp4 8MB
  93. video/5 - 9 - 09 The Bootstrap (0413).mp4 7MB
  94. video/6 - 7 - 07 Visual Perception (Part 1) (439).mp4 7MB
  95. assignments/6_VisualizationAssignment.twbx 6MB
  96. video/6 - 8 - 08 Visual Perception (Part 2) (418).mp4 6MB
  97. video/6 - 3 - 03 Data Types (Exercises) (407).mp4 6MB
  98. video/6 - 9 - 09 Visual Perception (Part 3) (356).mp4 5MB
  99. video/6 - 10 - 10 Evaluation (325).mp4 5MB
  100. video/6 - 4 - 04 Data Dimensions (308).mp4 4MB
  101. video/6 - 6 - 06 Visual Encoding (Part 2) (254).mp4 4MB
  102. slides/016_parallel_thinking.pdf 3MB
  103. slides/005_escience.pdf 3MB
  104. slides/017_map_reduce_abstraction.pdf 2MB
  105. slides/059_gradient_descent_part_1.pdf 1MB
  106. slides/006_big_data.pdf 1MB
  107. slides/041_fraud_benfords_law.pdf 1MB
  108. slides/000b_appetite_whetting_2.pdf 1MB
  109. slides/000_appetite_whetting_1.pdf 1MB
  110. slides/Infovis Aragon 2 Data Types.pdf 955KB
  111. slides/Infovis Aragon 7 Visual Perception (Part 1).pdf 885KB
  112. docs/Running Tableau on AWS.pdf 874KB
  113. slides/087_pagerank_mapreduce_pregel.pdf 804KB
  114. slides/Infovis Aragon 5 Visual Encoding (Part 1).pdf 750KB
  115. slides/033_nosql_response.pdf 747KB
  116. slides/guests-kiji-uw-data-science.pdf 736KB
  117. slides/025_mapreduce_and_databases_experiments.pdf 730KB
  118. slides/032_other_google_systems.pdf 729KB
  119. slides/027_eventual_consistency.pdf 718KB
  120. slides/003_this_course_1.pdf 704KB
  121. slides/Infovis Aragon 6 Visual Encoding (Part 2).pdf 685KB
  122. slides/Infovis Aragon 1 Introduction.pdf 674KB
  123. slides/Infovis Aragon 4 Data Dimensions.pdf 671KB
  124. slides/013_declarative_languages.pdf 661KB
  125. slides/043_recap_and_big_data.pdf 659KB
  126. slides/061_intuition_logistic_regression_svms.pdf 640KB
  127. slides/066_dbscan.pdf 637KB
  128. slides/008_data_models.pdf 620KB
  129. slides/060_gradient_descent_part_2.pdf 595KB
  130. slides/028_memcached.pdf 586KB
  131. slides/011.8_interpreting_complicated_sql.pdf 577KB
  132. slides/084_evaluating_recursive_programs.pdf 577KB
  133. slides/040_effect_size_meta_analysis_heteroskedasticity.pdf 568KB
  134. slides/030_couchdb.pdf 562KB
  135. slides/064_unsupervised_learning_copy.pdf 551KB
  136. slides/034_pig_intro.pdf 527KB
  137. slides/026_nosql_intro.pdf 525KB
  138. slides/022_map_reduce_implementation_overview.pdf 501KB
  139. slides/011.7_theta_join.pdf 492KB
  140. slides/063_stochastic_gradient_descent.pdf 490KB
  141. slides/062_intuition_regularization.pdf 490KB
  142. slides/049_rules_1.pdf 484KB
  143. slides/031_bigtable.pdf 483KB
  144. slides/077b_graph_histograms.pdf 482KB
  145. slides/051_intro_trees.pdf 477KB
  146. slides/014_logical_data_independence.pdf 469KB
  147. slides/081_pattern_matching.pdf 468KB
  148. slides/042_multiple_hypothesis_testing_CORRECTED.pdf 467KB
  149. slides/029_dynamo.pdf 466KB
  150. slides/Infovis Aragon 8 Visual Perception (Part 2).pdf 450KB
  151. slides/085_optimizing_recursive_programs_in_mr.pdf 438KB
  152. slides/001_context.pdf 430KB
  153. slides/012_physical_optimization.pdf 427KB
  154. slides/Infovis Aragon 3 Data Types (Exercises).pdf 424KB
  155. slides/086_graph_representations.pdf 424KB
  156. slides/052_information_gain.pdf 419KB
  157. slides/045_bayes_rule.pdf 409KB
  158. slides/039_publication_bias.pdf 408KB
  159. slides/080_traversal_tasks.pdf 400KB
  160. slides/078_structural_analysis_tasks.pdf 399KB
  161. slides/023_parallel_databases.pdf 385KB
  162. slides/004_this_course_2.pdf 383KB
  163. slides/011.6_relational_algebra_project_cross_equijoin.pdf 381KB
  164. slides/011.5_relational_algebra_union_diff_select.pdf 364KB
  165. slides/053_overfitting.pdf 347KB
  166. slides/007_logistics.pdf 345KB
  167. slides/019_map_reduce_text_examples.pdf 338KB
  168. slides/037_pig_evaluation.pdf 336KB
  169. slides/Infovis Aragon 9 Visual Perception (Part 3).pdf 330KB
  170. slides/047_overview_machine_learning.pdf 329KB
  171. slides/020_map_reduce_join_social_examples.pdf 326KB
  172. slides/021_map_reduce_matrix_multiply.pdf 318KB
  173. slides/Infovis Aragon 10 Evaluation.pdf 298KB
  174. slides/009_relational_motivation.pdf 294KB
  175. slides/055_bootstrap.pdf 285KB
  176. slides/002_dimensions.pdf 282KB
  177. slides/079_pagerank.pdf 279KB
  178. slides/050_rules_2.pdf 278KB
  179. slides/054_evaluation_thresholds.pdf 271KB
  180. assignments/4_aws-setup.pdf 270KB
  181. assignments/1_instructions.pdf 261KB
  182. assignments/4_quiz.pdf 258KB
  183. assignments/3_js_quiz.pdf 255KB
  184. slides/056_ensembles_and_boosting.pdf 242KB
  185. slides/036_cogroup_join.pdf 234KB
  186. slides/015_scalability.pdf 224KB
  187. docs/Syllabus.pdf 203KB
  188. assignments/2_instructions.pdf 195KB
  189. slides/035_pig_load_filter_group_foreach.pdf 191KB
  190. slides/guests-datameer_beyond_mapreduce.pdf 189KB
  191. slides/058_nearest_neighbor.pdf 188KB
  192. slides/065_kmeans.pdf 181KB
  193. slides/010_relational_algebra_intro.pdf 157KB
  194. slides/038_stats_intro.pdf 149KB
  195. slides/083_prism_example.pdf 147KB
  196. assignments/3_python_instructions.pdf 142KB
  197. docs/Github Instructions.pdf 128KB
  198. docs/Course Logistics.pdf 124KB
  199. slides/044_intro_bayesian.pdf 104KB
  200. slides/024_mapreduce_and_databases.pdf 95KB
  201. slides/018_map_reduce_pseudocode.pdf 94KB
  202. slides/048_intro_machine_learning_2.pdf 93KB
  203. slides/082_relational_algebra_for_graph_tasks.pdf 91KB
  204. docs/Class Virtual Machine.pdf 89KB
  205. slides/057_random_forests.pdf 88KB
  206. docs/Python Resources.pdf 84KB
  207. slides/011.9_user_defined_functions.pdf 62KB
  208. subtitles/8 - 2 - Eventual Consistency (1856).srt 29KB
  209. subtitles/1 - 8 - Big Data (1436).srt 25KB
  210. subtitles/8 - 7 - Example Other Google Systems (1618).srt 25KB
  211. subtitles/3 - 9 - Parallel Databases (1618).srt 24KB
  212. subtitles/3 - 1 - Scalability Basics (1618).srt 24KB
  213. subtitles/8 - 3 - Example Memcached (1637).srt 23KB
  214. subtitles/8 - 11 - Pig Join and Co-Group Join (1610).srt 23KB
  215. subtitles/1 - 5 - This Course Part 1 (1402).srt 22KB
  216. subtitles/1 - 1 - Appetite Whetting Part 1 (1538).srt 22KB
  217. subtitles/8 - 8 - Response to NoSQL Systems (1444).srt 22KB
  218. subtitles/3 - 11 - Experimental Results MR and DB (1501).srt 20KB
  219. subtitles/3 - 8 - MapReduce Implementation Overview (1338).srt 20KB
  220. subtitles/1 - 7 - eScience (1146).srt 19KB
  221. subtitles/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).srt 19KB
  222. subtitles/1 - 2 - Appetite Whetting Part 2 (1344).srt 18KB
  223. subtitles/8 - 9 - Pig Intro (1202).srt 18KB
  224. subtitles/2 - 1 - From Data Models to Databases (1035).srt 18KB
  225. subtitles/3 - 6 - MapReduce Relational Join Social Example (1317).srt 18KB
  226. subtitles/5 - 6 - 06 Information Gain (1143).srt 17KB
  227. subtitles/3 - 3 - MapReduce Abstractions (1117).srt 17KB
  228. subtitles/2 - 3 - Relational Algebra Introduction (1058).srt 17KB
  229. subtitles/5 - 7 - 07 Overfitting (1104).srt 17KB
  230. subtitles/4 - 6 - Recap and Big Data (1139).srt 17KB
  231. subtitles/2 - 9 - Physical Optimization (1114).srt 17KB
  232. subtitles/1 - 4 - Dimensions (1024).srt 17KB
  233. subtitles/1 - 6 - This Course Part 2 (1050).srt 16KB
  234. subtitles/3 - 2 - Parallel Processing Patterns (1126).srt 16KB
  235. subtitles/5 - 11 - 11 Random Forests (1116).srt 16KB
  236. subtitles/8 - 10 - Pig Functions (1141).srt 16KB
  237. subtitles/5 - 12 - 12 k Nearest Neighbors (1143).srt 16KB
  238. subtitles/1 - 3 - Context (930).srt 16KB
  239. subtitles/4 - 8 - Bayes Rule (1153).srt 16KB
  240. subtitles/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).srt 16KB
  241. subtitles/8 - 6 - Example BigTable (1105).srt 16KB
  242. subtitles/4 - 1 - Statistics Intro (1036).srt 16KB
  243. subtitles/4 - 5 - Multiple Hypothesis Testing (1122).srt 16KB
  244. subtitles/2 - 4 - Relational Algebra Details Union Diff Select (1053).srt 15KB
  245. subtitles/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).srt 15KB
  246. subtitles/8 - 5 - Example CouchDB (1000).srt 15KB
  247. subtitles/5 - 8 - 08 Evaluation and Cross-Validation (1046).srt 15KB
  248. subtitles/8 - 12 - Pig Evaluation (1011).srt 15KB
  249. subtitles/2 - 11 - Logical Data Independence (1123).srt 15KB
  250. subtitles/4 - 4 - Fraud and Benfords Law (1055).srt 14KB
  251. subtitles/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).srt 14KB
  252. subtitles/5 - 5 - 05 Decision Trees Entropy (1051).srt 14KB
  253. subtitles/2 - 10 - Declarative Languages (1030).srt 14KB
  254. subtitles/8 - 4 - Example Dynamo (1016).srt 14KB
  255. subtitles/2 - 2 - Motivating Relational Algebra (857).srt 13KB
  256. subtitles/5 - 10 - 10 Ensembles Bagging and Boosting (0919).srt 13KB
  257. subtitles/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).srt 13KB
  258. subtitles/8 - 1 - NoSQL Introduction (830).srt 13KB
  259. subtitles/9 - 8 - 08 DBSCAN (0913).srt 13KB
  260. subtitles/3 - 5 - MapReduce Text Examples (958).srt 13KB
  261. subtitles/1 - 9 - Guest Lecture Biomedical Informatics (1024).srt 13KB
  262. subtitles/5 - 3 - 03 Rules Part 1 (0919).srt 13KB
  263. subtitles/6 - 2 - 02 Data Types (937).srt 13KB
  264. subtitles/2 - 6 - Relational Algebra Details Theta-Join (834).srt 12KB
  265. subtitles/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).srt 12KB
  266. subtitles/1 - 10 - Logistics (742).srt 12KB
  267. subtitles/4 - 2 - Publication Bias (845).srt 12KB
  268. subtitles/9 - 1 - 01 Gradient Descent Part 1 (0718).srt 11KB
  269. subtitles/2 - 8 - SQL for Data Science User-Defined Functions (759).srt 11KB
  270. subtitles/3 - 10 - Comparing MapReduce and Databases (0639).srt 11KB
  271. subtitles/4 - 7 - Bayesian Intro (759).srt 11KB
  272. subtitles/9 - 4 - 04 Intuition for Regularization (0659).srt 10KB
  273. subtitles/3 - 4 - MapReduce Pseudocode (754).srt 10KB
  274. subtitles/9 - 6 - 06 Unsupervised Learning (0611).srt 10KB
  275. subtitles/3 - 7 - MapReduce Matrix Multiply Example (931).srt 10KB
  276. subtitles/6 - 1 - 01 Introduction (717).srt 10KB
  277. subtitles/9 - 2 - 02 Gradient Descent Part 2 (0629).srt 9KB
  278. subtitles/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).srt 8KB
  279. subtitles/6 - 5 - 05 Visual Encoding (Part 1) (638).srt 8KB
  280. subtitles/5 - 4 - 04 Rules Part 2 (0539).srt 7KB
  281. subtitles/9 - 7 - 07 K-means (0556).srt 7KB
  282. subtitles/6 - 7 - 07 Visual Perception (Part 1) (439).srt 6KB
  283. subtitles/5 - 9 - 09 The Bootstrap (0413).srt 6KB
  284. subtitles/6 - 8 - 08 Visual Perception (Part 2) (418).srt 5KB
  285. subtitles/6 - 3 - 03 Data Types (Exercises) (407).srt 5KB
  286. subtitles/6 - 9 - 09 Visual Perception (Part 3) (356).srt 4KB
  287. subtitles/6 - 10 - 10 Evaluation (325).srt 4KB
  288. subtitles/6 - 4 - 04 Data Dimensions (308).srt 4KB
  289. subtitles/6 - 6 - 06 Visual Encoding (Part 2) (254).srt 4KB
  290. virtual machine/tips.txt 856B