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Coursera - Web Intelligence and Big Data (2013)

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文件列表

  1. soft/orange-win-w-python-snapshot-hg-2013-05-30-py2.7.exe 103MB
  2. video/11 - 2 - G2 Graph Query Languages (1403).mp4 21MB
  3. video/11 - 3 - G3 Linked Open Data (1225).mp4 20MB
  4. video/7 - 3 - 6-3 Resolution and its Limits (1558).mp4 20MB
  5. video/9 - 11 - 7-11 Homework Assignment Genomic Data Analysis.mp4 20MB
  6. video/6 - 7 - 5-7 Learning Latent Models (1557).mp4 20MB
  7. video/4 - 6 - 3-5 Map-Reduce Applications (1352).mp4 18MB
  8. video/11 - 1 - G1 Introduction to Graph Data (1136).mp4 17MB
  9. video/6 - 2 - 5-2 Classification Re-visited (1256).mp4 17MB
  10. video/8 - 4 - M4 Markov Logic Formalism (1139).mp4 17MB
  11. video/7 - 10 - 6-9 Information Extraction (1241).mp4 17MB
  12. video/5 - 6 - 4-5 NoSQL and Eventual Consistency (1241).mp4 16MB
  13. video/9 - 5 - 7-5 Learning Parameters (1235).mp4 16MB
  14. video/5 - 3 - 4-2 Database Technology (1240).mp4 16MB
  15. video/6 - 3 - 5-3 Learning Groupings - Clustering (1213).mp4 16MB
  16. video/11 - 5 - G5 Graph Data Management (1026).mp4 16MB
  17. video/4 - 4 - 3-4 Map-Reduce Example in Octo (1103).mp4 16MB
  18. video/8 - 5 - M5 Related Models (1021).mp4 15MB
  19. video/9 - 3 - 7-3 Least Squares (1208).mp4 15MB
  20. video/7 - 6 - 6-6 Algebra of Potentials (1205).mp4 15MB
  21. video/8 - 1 - M1 Motivation (1159).mp4 15MB
  22. video/8 - 7 - M7 Entity Resolution Example - 2 (953).mp4 15MB
  23. video/4 - 3 - 3-3 Map-Reduce (1149).mp4 15MB
  24. video/5 - 2 - 4-1 Distributed File Systems (1212).mp4 15MB
  25. video/7 - 7 - 6-7 Naive Bayes Revisited (1126).mp4 14MB
  26. video/5 - 9 - 4-8 Relational vs Big-Data Technologies (911).mp4 14MB
  27. video/9 - 9 - 7-9 Hierarchical Temporal Memory - II (1038).mp4 14MB
  28. video/11 - 4 - G4 Challenges and Efficiency (856).mp4 14MB
  29. video/3 - 12 - 2-11 Machine Learning - Limits (1029).mp4 14MB
  30. video/9 - 2 - 7-2 Linear Prediction (1100).mp4 14MB
  31. video/6 - 4 - 5-4 Learning Rules (1011).mp4 13MB
  32. video/8 - 6 - M6 Entity Resolution Example - 1 (837).mp4 13MB
  33. video/7 - 2 - 6-2 Logical Inference (956).mp4 13MB
  34. video/5 - 5 - 4-4 Big-Table and HBase (1008).mp4 12MB
  35. video/9 - 10 - 7-10 Blackboard Architecture (906).mp4 12MB
  36. video/4 - 8 - 3-7 Inside Map-Reduce (947).mp4 12MB
  37. video/3 - 11 - 2-10 Mutual Information (858).mp4 12MB
  38. video/8 - 2 - M2 Markov Networks and Logic (844).mp4 12MB
  39. video/5 - 10 - 4-9 Database Trends and Summary (722).mp4 12MB
  40. video/5 - 8 - 4-7 Evolution of SQL and Map-Reduce (934).mp4 12MB
  41. video/7 - 8 - 6-8-1 Bayesian Networks - 1 (920).mp4 12MB
  42. video/8 - 3 - M3 Markov Logic via an Example (828).mp4 12MB
  43. video/5 - 7 - 4-6 Future of NoSQL and Dremel (928).mp4 12MB
  44. video/3 - 7 - 2-7 Machine Learning Intro (900).mp4 12MB
  45. video/3 - 6 - 2-6 Language and Information (856).mp4 12MB
  46. video/7 - 1 - 6-1 Preamble (907).mp4 12MB
  47. video/7 - 5 - 6-5 Logic and Uncertainty (909).mp4 12MB
  48. video/9 - 4 - 7-4 Nonlinear Models (926) .mp4 12MB
  49. video/10 - 1 - Course Recap and Pointers (934).mp4 12MB
  50. video/6 - 5 - 5-5 Association Rule Mining (845).mp4 11MB
  51. video/9 - 8 - 7-8 Hierarchical Temporal Memory - I (839).mp4 11MB
  52. video/4 - 7 - 3-6 Parallel Efficiency of Map-Reduce (842).mp4 11MB
  53. video/5 - 4 - 4-3 Evolution of Databases (852).mp4 11MB
  54. video/9 - 6 - 7-6 Prediction Applications (830).mp4 11MB
  55. video/3 - 4 - 2-4 TF-IDF (824).mp4 11MB
  56. video/3 - 9 - 2-8-2 Naive Bayes (833).mp4 11MB
  57. video/4 - 2 - 3-2 Parallel Computing (854).mp4 11MB
  58. video/2 - 15 - 1-7-6 High-dimensional Objects (819).mp4 10MB
  59. video/6 - 6 - 5-6 Learning with Big Data (751).mp4 10MB
  60. video/8 - 8 - M8 Social Network Analysis using MLN (727).mp4 10MB
  61. video/3 - 10 - 2-9 Sentiment Analysis (732).mp4 10MB
  62. video/2 - 1 - 1-1 Basic Indexing (722).mp4 9MB
  63. video/7 - 11 - 6-10 Recap and Preview (700).mp4 9MB
  64. video/2 - 9 - 1-6-2 Searching Structured Data (625).mp4 9MB
  65. video/7 - 4 - 6-4 Semantic Web (618).mp4 8MB
  66. video/3 - 2 - 2-2 Shannon Information (618).mp4 8MB
  67. video/3 - 5 - 2-5 TF-IDF Example (609).mp4 8MB
  68. video/8 - 9 - M9 Research Directions in Markov Logic (609).mp4 8MB
  69. video/9 - 7 - 7-7 Which Technique (613).mp4 8MB
  70. video/2 - 6 - 1-5-1 Page Rank and Memory (601).mp4 8MB
  71. video/11 - 6 - G6 Q A (503).mp4 8MB
  72. video/1 - 5 - 0-3-2 Big Data (615).mp4 8MB
  73. video/2 - 16 - 1-7-7 Associative Memories (525).mp4 8MB
  74. video/3 - 3 - 2-3 Information and Advertising (549).mp4 7MB
  75. video/6 - 8 - 5-8 Grounded Learning (542).mp4 7MB
  76. video/7 - 9 - 6-8-2 Bayesian Networks - 2 (523).mp4 7MB
  77. video/2 - 2 - 1-2 Index Creation (540).mp4 7MB
  78. video/2 - 7 - 1-5-2 Google and the Mind (518).mp4 7MB
  79. video/1 - 7 - 0-5 Recap and Preview (237).mp4 7MB
  80. video/2 - 10 - 1-7-1 Object Search (507).mp4 7MB
  81. video/2 - 5 - 1-4-2 Ranking - 2 (448).mp4 6MB
  82. video/3 - 8 - 2-8-1 Bayes Rule (455).mp4 6MB
  83. video/2 - 11 - 1-7-2 Locality Sensitive Hashing (451).mp4 6MB
  84. assignments/hw7_genestrain.tab.zip 6MB
  85. video/1 - 6 - 0-4 Course Outline (413).mp4 6MB
  86. video/1 - 1 - 0-0 Preamble (326).mp4 6MB
  87. video/2 - 8 - 1-6-1 Enterprise Search (441).mp4 6MB
  88. video/7 - 12 - 6-11-Programming HW 6 (424).mp4 6MB
  89. video/4 - 1 - 3-1 Preamble (441).mp4 6MB
  90. video/2 - 4 - 1-4-1 Ranking - 1 (424).mp4 5MB
  91. video/1 - 3 - 0-2 Web-Scale AI and Big Data (358).mp4 5MB
  92. video/2 - 14 - 1-7-5 LSH Intuition (408).mp4 5MB
  93. video/2 - 12 - 1-7-3 LSH Example - 1 (317).mp4 5MB
  94. video/2 - 3 - 1-3 Complexity of Index Creation (328).mp4 5MB
  95. video/1 - 4 - 0-3-1 Web Intelligence (322).mp4 5MB
  96. video/3 - 13 - 2-12 Recap and Preview (314).mp4 4MB
  97. video/1 - 2 - 0-1 Revisiting Turings Test (309).mp4 4MB
  98. video/6 - 1 - 5-1 Preamble (318).mp4 4MB
  99. video/3 - 1 - 2-1 Preamble - Listen (318).mp4 4MB
  100. slides/7-Predict-Lecture-Slides.pdf 4MB
  101. video/6 - 9 - 5-9 Recap and Preview (233).mp4 3MB
  102. video/9 - 1 - 7-1 Preamble (234).mp4 3MB
  103. video/2 - 17 - 1-7-8 Recap and Preview (244).mp4 3MB
  104. video/2 - 13 - 1-7-4 LSH Example - 2 (154).mp4 3MB
  105. video/4 - 5 - 3-4-1 Map-Reduce Example in Mincemeat (204).mp4 3MB
  106. assignments/hw3_data.zip 3MB
  107. video/5 - 1 - 4-0 Preamble (143).mp4 2MB
  108. slides/3-Load Lecture Slides.pdf 2MB
  109. slides/2-Listen Lecture Slides.pdf 1MB
  110. slides/4-Load Lecture Slides.pdf 1MB
  111. assignments/hw7_genesblind.tab.zip 1MB
  112. slides/1-Look Lecture Slides.pdf 1MB
  113. slides/0-Introduction Lecture Slides.pdf 842KB
  114. slides/5-Learn Lecture Slides.pdf 542KB
  115. slides/6-Connect-Revised-Slides.pdf 325KB
  116. assignments/hw6_assignment2.pdf 185KB
  117. assignments/hw7_assignment3.pdf 129KB
  118. assignments/hw3_assignment1.pdf 95KB
  119. references_resources.pdf 92KB
  120. course schedule spring 2013 v2.pdf 89KB
  121. subtitles/11 - 2 - G2 Graph Query Languages (1403).srt 18KB
  122. subtitles/6 - 7 - 5-7 Learning Latent Models (1557).srt 16KB
  123. subtitles/7 - 3 - 6-3 Resolution and its Limits (1558).srt 16KB
  124. subtitles/11 - 3 - G3 Linked Open Data (1225).srt 15KB
  125. subtitles/11 - 1 - G1 Introduction to Graph Data (1136).srt 15KB
  126. subtitles/9 - 5 - 7-5 Learning Parameters (1235).srt 15KB
  127. subtitles/4 - 6 - 3-5 Map-Reduce Applications (1352).srt 14KB
  128. subtitles/9 - 3 - 7-3 Least Squares (1208).srt 14KB
  129. subtitles/7 - 10 - 6-9 Information Extraction (1241).srt 14KB
  130. subtitles/6 - 3 - 5-3 Learning Groupings - Clustering (1213).srt 14KB
  131. subtitles/6 - 2 - 5-2 Classification Re-visited (1256).srt 14KB
  132. subtitles/5 - 2 - 4-1 Distributed File Systems (1212).srt 13KB
  133. subtitles/5 - 3 - 4-2 Database Technology (1240).srt 13KB
  134. subtitles/7 - 7 - 6-7 Naive Bayes Revisited (1126).srt 13KB
  135. subtitles/11 - 5 - G5 Graph Data Management (1026).srt 13KB
  136. subtitles/5 - 6 - 4-5 NoSQL and Eventual Consistency (1241).srt 12KB
  137. subtitles/9 - 9 - 7-9 Hierarchical Temporal Memory - II (1038).srt 12KB
  138. subtitles/9 - 2 - 7-2 Linear Prediction (1100).srt 12KB
  139. subtitles/4 - 3 - 3-3 Map-Reduce (1149).srt 12KB
  140. subtitles/7 - 6 - 6-6 Algebra of Potentials (1205).srt 12KB
  141. subtitles/10 - 1 - Course Recap and Pointers (934).srt 12KB
  142. subtitles/4 - 4 - 3-4 Map-Reduce Example in Octo (1103).srt 12KB
  143. subtitles/5 - 9 - 4-8 Relational vs Big-Data Technologies (911).srt 11KB
  144. subtitles/11 - 4 - G4 Challenges and Efficiency (856).srt 11KB
  145. subtitles/7 - 8 - 6-8-1 Bayesian Networks - 1 (920).srt 11KB
  146. subtitles/5 - 5 - 4-4 Big-Table and HBase (1008).srt 11KB
  147. subtitles/9 - 10 - 7-10 Blackboard Architecture (906).srt 11KB
  148. subtitles/5 - 8 - 4-7 Evolution of SQL and Map-Reduce (934).srt 11KB
  149. subtitles/3 - 12 - 2-11 Machine Learning - Limits (1029).srt 11KB
  150. subtitles/6 - 4 - 5-4 Learning Rules (1011).srt 10KB
  151. subtitles/5 - 7 - 4-6 Future of NoSQL and Dremel (928).srt 10KB
  152. subtitles/9 - 6 - 7-6 Prediction Applications (830).srt 10KB
  153. subtitles/7 - 1 - 6-1 Preamble (907).srt 10KB
  154. subtitles/9 - 4 - 7-4 Nonlinear Models (926) .srt 10KB
  155. subtitles/4 - 8 - 3-7 Inside Map-Reduce (947).srt 10KB
  156. subtitles/9 - 8 - 7-8 Hierarchical Temporal Memory - I (839).srt 10KB
  157. subtitles/4 - 2 - 3-2 Parallel Computing (854).srt 10KB
  158. subtitles/5 - 10 - 4-9 Database Trends and Summary (722).srt 9KB
  159. subtitles/3 - 11 - 2-10 Mutual Information (858).srt 9KB
  160. subtitles/5 - 4 - 4-3 Evolution of Databases (852).srt 9KB
  161. subtitles/7 - 2 - 6-2 Logical Inference (956).srt 9KB
  162. subtitles/6 - 5 - 5-5 Association Rule Mining (845).srt 9KB
  163. subtitles/3 - 7 - 2-7 Machine Learning Intro (900).srt 9KB
  164. subtitles/3 - 4 - 2-4 TF-IDF (824).srt 9KB
  165. subtitles/6 - 6 - 5-6 Learning with Big Data (751).srt 9KB
  166. subtitles/3 - 6 - 2-6 Language and Information (856).srt 9KB
  167. subtitles/7 - 5 - 6-5 Logic and Uncertainty (909).srt 8KB
  168. subtitles/3 - 9 - 2-8-2 Naive Bayes (833).srt 8KB
  169. subtitles/9 - 7 - 7-7 Which Technique (613).srt 8KB
  170. subtitles/3 - 10 - 2-9 Sentiment Analysis (732).srt 8KB
  171. subtitles/7 - 11 - 6-10 Recap and Preview (700).srt 8KB
  172. subtitles/2 - 15 - 1-7-6 High-dimensional Objects (819).srt 8KB
  173. subtitles/2 - 1 - 1-1 Basic Indexing (722).srt 7KB
  174. subtitles/11 - 6 - G6 Q A (503).srt 7KB
  175. subtitles/3 - 5 - 2-5 TF-IDF Example (609).srt 7KB
  176. subtitles/7 - 4 - 6-4 Semantic Web (618).srt 6KB
  177. subtitles/2 - 9 - 1-6-2 Searching Structured Data (625).srt 6KB
  178. subtitles/7 - 9 - 6-8-2 Bayesian Networks - 2 (523).srt 6KB
  179. subtitles/6 - 8 - 5-8 Grounded Learning (542).srt 6KB
  180. subtitles/2 - 2 - 1-2 Index Creation (540).srt 6KB
  181. subtitles/4 - 7 - 3-6 Parallel Efficiency of Map-Reduce (842).srt 6KB
  182. subtitles/2 - 6 - 1-5-1 Page Rank and Memory (601).srt 6KB
  183. subtitles/3 - 2 - 2-2 Shannon Information (618).srt 6KB
  184. subtitles/3 - 3 - 2-3 Information and Advertising (549).srt 5KB
  185. subtitles/1 - 6 - 0-4 Course Outline (413).srt 5KB
  186. subtitles/1 - 5 - 0-3-2 Big Data (615).srt 5KB
  187. subtitles/4 - 1 - 3-1 Preamble (441).srt 5KB
  188. subtitles/2 - 10 - 1-7-1 Object Search (507).srt 5KB
  189. subtitles/2 - 5 - 1-4-2 Ranking - 2 (448).srt 5KB
  190. subtitles/2 - 8 - 1-6-1 Enterprise Search (441).srt 5KB
  191. subtitles/7 - 12 - 6-11-Programming HW 6 (424).srt 5KB
  192. subtitles/2 - 7 - 1-5-2 Google and the Mind (518).srt 5KB
  193. subtitles/3 - 8 - 2-8-1 Bayes Rule (455).srt 5KB
  194. subtitles/2 - 11 - 1-7-2 Locality Sensitive Hashing (451).srt 4KB
  195. subtitles/2 - 4 - 1-4-1 Ranking - 1 (424).srt 4KB
  196. subtitles/1 - 1 - 0-0 Preamble (326).srt 4KB
  197. subtitles/1 - 3 - 0-2 Web-Scale AI and Big Data (358).srt 4KB
  198. subtitles/2 - 14 - 1-7-5 LSH Intuition (408).srt 4KB
  199. subtitles/2 - 3 - 1-3 Complexity of Index Creation (328).srt 4KB
  200. subtitles/3 - 13 - 2-12 Recap and Preview (314).srt 4KB
  201. subtitles/1 - 2 - 0-1 Revisiting Turings Test (309).srt 3KB
  202. subtitles/1 - 7 - 0-5 Recap and Preview (237).srt 3KB
  203. subtitles/6 - 1 - 5-1 Preamble (318).srt 3KB
  204. subtitles/1 - 4 - 0-3-1 Web Intelligence (322).srt 3KB
  205. subtitles/9 - 1 - 7-1 Preamble (234).srt 3KB
  206. subtitles/3 - 1 - 2-1 Preamble - Listen (318).srt 3KB
  207. subtitles/2 - 17 - 1-7-8 Recap and Preview (244).srt 3KB
  208. subtitles/4 - 5 - 3-4-1 Map-Reduce Example in Mincemeat (204).srt 3KB
  209. subtitles/6 - 9 - 5-9 Recap and Preview (233).srt 3KB
  210. subtitles/2 - 12 - 1-7-3 LSH Example - 1 (317).srt 3KB
  211. subtitles/5 - 1 - 4-0 Preamble (143).srt 2KB
  212. subtitles/2 - 13 - 1-7-4 LSH Example - 2 (154).srt 2KB
  213. subtitles/2 - 16 - 1-7-7 Associative Memories (525).srt 1KB