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bigdata-004

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  • 最近下载:2021-01-23 16:57:37
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文件列表

  1. 06_Guest_Lecture_1-_Graph_Databases/02_G2_Graph_Query_Languages_14-03.mp4 21MB
  2. 07_Unit_4B-_Parallel_Graph_Processing/05_4B-5_Shortest_Paths_and_Summary_7-43.mp4 21MB
  3. 06_Guest_Lecture_1-_Graph_Databases/03_G3_Linked_Open_Data_12-25.mp4 20MB
  4. 09_Unit_6-_Connect/03_6-3_Resolution_and_its_Limits_15-58.mp4 20MB
  5. 08_Unit_5-_Learn/07_5-7_Learning_Latent_Models_15-57.mp4 20MB
  6. 04_Unit_3-_Load_-_I/06_3-5_Map-Reduce_Applications_13-52.mp4 18MB
  7. 06_Guest_Lecture_1-_Graph_Databases/01_G1_Introduction_to_Graph_Data_11-36.mp4 17MB
  8. 08_Unit_5-_Learn/02_5-2_Classification_Re-visited_12-56.mp4 17MB
  9. 11_Guest_Lecture_2-_Markov_Logic/04_M4_Markov_Logic_Formalism_11-39.mp4 17MB
  10. 09_Unit_6-_Connect/10_6-9_Information_Extraction_12-41.mp4 17MB
  11. 05_Unit_4A-_Load_-_II/06_4-5_NoSQL_and_Eventual_Consistency_12-41.mp4 16MB
  12. 10_Unit_7-_Predict/05_7-5_Learning_Parameters_12-35.mp4 16MB
  13. 05_Unit_4A-_Load_-_II/03_4-2_Database_Technology_12-40.mp4 16MB
  14. 08_Unit_5-_Learn/03_5-3_Learning_Groupings_-_Clustering_12-13.mp4 16MB
  15. 06_Guest_Lecture_1-_Graph_Databases/05_G5_Graph_Data_Management_10-26.mp4 16MB
  16. 04_Unit_3-_Load_-_I/04_3-4_Map-Reduce_Example_in_Octo_11-03.mp4 16MB
  17. 11_Guest_Lecture_2-_Markov_Logic/05_M5_Related_Models_10-21.mp4 15MB
  18. 10_Unit_7-_Predict/03_7-3_Least_Squares_12-08.mp4 15MB
  19. 09_Unit_6-_Connect/06_6-6_Algebra_of_Potentials_12-05.mp4 15MB
  20. 11_Guest_Lecture_2-_Markov_Logic/01_M1_Motivation_11-59.mp4 15MB
  21. 11_Guest_Lecture_2-_Markov_Logic/07_M7_Entity_Resolution_Example_-_2_9-53.mp4 15MB
  22. 04_Unit_3-_Load_-_I/03_3-3_Map-Reduce_11-49.mp4 15MB
  23. 05_Unit_4A-_Load_-_II/02_4-1_Distributed_File_Systems_12-12.mp4 15MB
  24. 09_Unit_6-_Connect/07_6-7_Naive_Bayes_Revisited_11-26.mp4 14MB
  25. 05_Unit_4A-_Load_-_II/09_4-8_Relational_vs_Big-Data_Technologies_9-11.mp4 14MB
  26. 10_Unit_7-_Predict/09_7-9_Hierarchical_Temporal_Memory_-_II_10-38.mp4 14MB
  27. 06_Guest_Lecture_1-_Graph_Databases/04_G4_Challenges_and_Efficiency_8-56.mp4 14MB
  28. 03_Unit_2-_Listen/12_2-11_Machine_Learning_-_Limits_10-29.mp4 14MB
  29. 10_Unit_7-_Predict/02_7-2_Linear_Prediction_11-00.mp4 14MB
  30. 08_Unit_5-_Learn/04_5-4_Learning_Rules_10-11.mp4 13MB
  31. 11_Guest_Lecture_2-_Markov_Logic/06_M6_Entity_Resolution_Example_-_1_8-37.mp4 13MB
  32. 07_Unit_4B-_Parallel_Graph_Processing/04_4B-4_Page-rank_in_Pregel_10-35.mp4 13MB
  33. 09_Unit_6-_Connect/02_6-2_Logical_Inference_9-56.mp4 13MB
  34. 05_Unit_4A-_Load_-_II/05_4-4_Big-Table_and_HBase_10-08.mp4 12MB
  35. 10_Unit_7-_Predict/10_7-10_Blackboard_Architecture_9-06.mp4 12MB
  36. 04_Unit_3-_Load_-_I/08_3-7_Inside_Map-Reduce_9-47.mp4 12MB
  37. 11_Guest_Lecture_2-_Markov_Logic/02_M2_Markov_Networks_and_Logic_8-44.mp4 12MB
  38. 05_Unit_4A-_Load_-_II/10_4-9_Database_Trends_and_Summary_7-22.mp4 12MB
  39. 05_Unit_4A-_Load_-_II/08_4-7_Evolution_of_SQL_and_Map-Reduce_9-34.mp4 12MB
  40. 09_Unit_6-_Connect/08_6-8-1_Bayesian_Networks_-_1_9-20.mp4 12MB
  41. 11_Guest_Lecture_2-_Markov_Logic/03_M3_Markov_Logic_via_an_Example_8-28.mp4 12MB
  42. 05_Unit_4A-_Load_-_II/07_4-6_Future_of_NoSQL_and_Dremel_9-28.mp4 12MB
  43. 03_Unit_2-_Listen/06_2-6_Language_and_Information_8-56.mp4 12MB
  44. 09_Unit_6-_Connect/01_6-1_Preamble_9-07.mp4 12MB
  45. 09_Unit_6-_Connect/05_6-5_Logic_and_Uncertainty_9-09.mp4 12MB
  46. 10_Unit_7-_Predict/04_7-4_Nonlinear_Models_9-26.mp4 12MB
  47. 12_Wrap_up_and_Final_Exam/01_Course_Recap_and_Pointers_9-34.mp4 12MB
  48. 08_Unit_5-_Learn/05_5-5_Association_Rule_Mining_8-45.mp4 11MB
  49. 10_Unit_7-_Predict/08_7-8_Hierarchical_Temporal_Memory_-_I_8-39.mp4 11MB
  50. 04_Unit_3-_Load_-_I/07_3-6_Parallel_Efficiency_of_Map-Reduce_8-42.mp4 11MB
  51. 05_Unit_4A-_Load_-_II/04_4-3_Evolution_of_Databases_8-52.mp4 11MB
  52. 10_Unit_7-_Predict/06_7-6_Prediction_Applications_8-30.mp4 11MB
  53. 03_Unit_2-_Listen/04_2-4_TF-IDF_8-24.mp4 11MB
  54. 03_Unit_2-_Listen/09_2-8-2_Naive_Bayes_8-33.mp4 11MB
  55. 04_Unit_3-_Load_-_I/02_3-2_Parallel_Computing_8-54.mp4 11MB
  56. 02_Unit_1-_Look/15_1-7-6_High-dimensional_Objects_8-19.mp4 10MB
  57. 08_Unit_5-_Learn/06_5-6_Learning_with_Big_Data_7-51.mp4 10MB
  58. 11_Guest_Lecture_2-_Markov_Logic/08_M8_Social_Network_Analysis_using_MLN_7-27.mp4 10MB
  59. ReferencesandResources/RevisedSlidesWebIntBigData.zip 10MB
  60. 09_Unit_6-_Connect/11_6-10_Recap_and_Preview_7-00.mp4 9MB
  61. 02_Unit_1-_Look/01_1-1_Basic_Indexing_7-22.mp4 9MB
  62. 03_Unit_2-_Listen/11_2-10_Mutual_Information_8-58.mp4 9MB
  63. 02_Unit_1-_Look/09_1-6-2_Searching_Structured_Data_6-25.mp4 9MB
  64. 03_Unit_2-_Listen/07_2-7_Machine_Learning_Intro_9-00.mp4 8MB
  65. 09_Unit_6-_Connect/04_6-4_Semantic_Web_6-18.mp4 8MB
  66. 03_Unit_2-_Listen/02_2-2_Shannon_Information_6-18.mp4 8MB
  67. 03_Unit_2-_Listen/05_2-5_TF-IDF_Example_6-09.mp4 8MB
  68. 11_Guest_Lecture_2-_Markov_Logic/09_M9_Research_Directions_in_Markov_Logic_6-09.mp4 8MB
  69. 10_Unit_7-_Predict/07_7-7_Which_Technique_6-13.mp4 8MB
  70. 02_Unit_1-_Look/06_1-5-1_Page_Rank_and_Memory_6-01.mp4 8MB
  71. 07_Unit_4B-_Parallel_Graph_Processing/01_4B-1_Iteration_and_Map-Reduce_8-48.mp4 8MB
  72. 06_Guest_Lecture_1-_Graph_Databases/06_G6_Q__A_5-03.mp4 8MB
  73. 01_Unit_0-_Introduction/05_0-3-2_Big_Data_6-15.mp4 8MB
  74. 02_Unit_1-_Look/16_1-7-7_Associative_Memories_5-25.mp4 8MB
  75. 07_Unit_4B-_Parallel_Graph_Processing/03_4B-3_Pregel_Model_8-15.mp4 7MB
  76. 03_Unit_2-_Listen/03_2-3_Information_and_Advertising_5-49.mp4 7MB
  77. 08_Unit_5-_Learn/08_5-8_Grounded_Learning_5-42.mp4 7MB
  78. 09_Unit_6-_Connect/09_6-8-2_Bayesian_Networks_-_2_5-23.mp4 7MB
  79. 02_Unit_1-_Look/02_1-2_Index_Creation_5-40.mp4 7MB
  80. 02_Unit_1-_Look/07_1-5-2_Google_and_the_Mind_5-18.mp4 7MB
  81. 03_Unit_2-_Listen/10_2-9_Sentiment_Analysis_7-32.mp4 7MB
  82. 01_Unit_0-_Introduction/07_0-5_Recap_and_Preview_2-37.mp4 7MB
  83. 02_Unit_1-_Look/10_1-7-1_Object_Search_5-07.mp4 7MB
  84. 02_Unit_1-_Look/05_1-4-2_Ranking_-_2_4-48.mp4 6MB
  85. 03_Unit_2-_Listen/08_2-8-1_Bayes_Rule_4-55.mp4 6MB
  86. 02_Unit_1-_Look/11_1-7-2_Locality_Sensitive_Hashing_4-51.mp4 6MB
  87. 01_Unit_0-_Introduction/06_0-4_Course_Outline_4-13.mp4 6MB
  88. 01_Unit_0-_Introduction/01_0-0_Preamble_3-26.mp4 6MB
  89. 07_Unit_4B-_Parallel_Graph_Processing/02_4B-2_Graph_Computing_6-50.mp4 6MB
  90. 02_Unit_1-_Look/08_1-6-1_Enterprise_Search_4-41.mp4 6MB
  91. 09_Unit_6-_Connect/12_6-11-Programming_HW_6_4-24.mp4 6MB
  92. 04_Unit_3-_Load_-_I/01_3-1_Preamble_4-41.mp4 6MB
  93. 02_Unit_1-_Look/04_1-4-1_Ranking_-_1_4-24.mp4 5MB
  94. 01_Unit_0-_Introduction/03_0-2_Web-Scale_AI_and_Big_Data_3-58.mp4 5MB
  95. 02_Unit_1-_Look/14_1-7-5_LSH_Intuition_4-08.mp4 5MB
  96. 02_Unit_1-_Look/12_1-7-3_LSH_Example_-_1_3-17.mp4 5MB
  97. 02_Unit_1-_Look/03_1-3_Complexity_of_Index_Creation_3-28.mp4 5MB
  98. 01_Unit_0-_Introduction/04_0-3-1_Web_Intelligence_3-22.mp4 5MB
  99. 03_Unit_2-_Listen/13_2-12_Recap_and_Preview_3-14.mp4 4MB
  100. 01_Unit_0-_Introduction/02_0-1_Revisiting_Turings_Test_3-09.mp4 4MB
  101. 08_Unit_5-_Learn/01_5-1_Preamble_3-18.mp4 4MB
  102. 03_Unit_2-_Listen/01_2-1_Preamble_-_Listen_3-18.mp4 4MB
  103. 08_Unit_5-_Learn/09_5-9_Recap_and_Preview_2-33.mp4 3MB
  104. 10_Unit_7-_Predict/01_7-1_Preamble_2-34.mp4 3MB
  105. 02_Unit_1-_Look/17_1-7-8_Recap_and_Preview_2-44.mp4 3MB
  106. ReferencesandResources/book.pdf 3MB
  107. 02_Unit_1-_Look/13_1-7-4_LSH_Example_-_2_1-54.mp4 3MB
  108. 04_Unit_3-_Load_-_I/05_3-4-1_Map-Reduce_Example_in_Mincemeat_2-04.mp4 3MB
  109. 05_Unit_4A-_Load_-_II/01_4-0_Preamble_1-43.mp4 2MB
  110. entered_login.html 1MB
  111. Quizzes.html 71KB
  112. Quizzes/8_Quiz_7/8_Quiz_7.html 59KB
  113. Quizzes/7_Quiz_6/7_Quiz_6.html 58KB
  114. DiscussionForums/DiscussionForums.html 58KB
  115. Quizzes/1_Quiz_1/1_Quiz_1.html 57KB
  116. QuickQuestions15/QuickQuestions15.html 54KB
  117. Quizzes/6_Quiz_5/6_Quiz_5.html 48KB
  118. Quizzes/5_Quiz_4/5_Quiz_4.html 46KB
  119. Quizzes/2_Quiz_2/2_Quiz_2.html 46KB
  120. Quizzes/4_Quiz_GL1_Graph_Databases/4_Quiz_GL1_Graph_Databases.html 44KB
  121. Quizzes/0_Quiz_0/0_Quiz_0.html 44KB
  122. Quizzes/3_Quiz_3/3_Quiz_3.html 44KB
  123. ReferencesandResources/ReferencesandResources.html 39KB
  124. ReferencesandResources/zip_page.html 39KB
  125. course_home.html 38KB
  126. Home/Home.html 38KB
  127. CourseOutline/CourseOutline.html 37KB
  128. AbouttheInstructor/AbouttheInstructor.html 36KB
  129. assignment_home.html 31KB
  130. 11_Guest_Lecture_2-_Markov_Logic/01_M1_Motivation_11-59.srt 23KB
  131. 11_Guest_Lecture_2-_Markov_Logic/04_M4_Markov_Logic_Formalism_11-39.srt 20KB
  132. 11_Guest_Lecture_2-_Markov_Logic/05_M5_Related_Models_10-21.srt 19KB
  133. 11_Guest_Lecture_2-_Markov_Logic/07_M7_Entity_Resolution_Example_-_2_9-53.srt 19KB
  134. 11_Guest_Lecture_2-_Markov_Logic/02_M2_Markov_Networks_and_Logic_8-44.srt 18KB
  135. 06_Guest_Lecture_1-_Graph_Databases/02_G2_Graph_Query_Languages_14-03.srt 18KB
  136. 11_Guest_Lecture_2-_Markov_Logic/06_M6_Entity_Resolution_Example_-_1_8-37.srt 18KB
  137. 11_Guest_Lecture_2-_Markov_Logic/03_M3_Markov_Logic_via_an_Example_8-28.srt 16KB
  138. 08_Unit_5-_Learn/07_5-7_Learning_Latent_Models_15-57.srt 16KB
  139. 09_Unit_6-_Connect/03_6-3_Resolution_and_its_Limits_15-58.srt 16KB
  140. 06_Guest_Lecture_1-_Graph_Databases/03_G3_Linked_Open_Data_12-25.srt 15KB
  141. 06_Guest_Lecture_1-_Graph_Databases/01_G1_Introduction_to_Graph_Data_11-36.srt 15KB
  142. 10_Unit_7-_Predict/05_7-5_Learning_Parameters_12-35.srt 15KB
  143. 11_Guest_Lecture_2-_Markov_Logic/08_M8_Social_Network_Analysis_using_MLN_7-27.srt 15KB
  144. 04_Unit_3-_Load_-_I/06_3-5_Map-Reduce_Applications_13-52.srt 14KB
  145. 10_Unit_7-_Predict/03_7-3_Least_Squares_12-08.srt 14KB
  146. 09_Unit_6-_Connect/10_6-9_Information_Extraction_12-41.srt 14KB
  147. 11_Guest_Lecture_2-_Markov_Logic/01_M1_Motivation_11-59.txt 14KB
  148. 08_Unit_5-_Learn/03_5-3_Learning_Groupings_-_Clustering_12-13.srt 14KB
  149. 08_Unit_5-_Learn/02_5-2_Classification_Re-visited_12-56.srt 14KB
  150. 07_Unit_4B-_Parallel_Graph_Processing/04_4B-4_Page-rank_in_Pregel_10-35.srt 13KB
  151. 05_Unit_4A-_Load_-_II/02_4-1_Distributed_File_Systems_12-12.srt 13KB
  152. 05_Unit_4A-_Load_-_II/03_4-2_Database_Technology_12-40.srt 13KB
  153. 09_Unit_6-_Connect/07_6-7_Naive_Bayes_Revisited_11-26.srt 13KB
  154. 06_Guest_Lecture_1-_Graph_Databases/05_G5_Graph_Data_Management_10-26.srt 13KB
  155. 05_Unit_4A-_Load_-_II/06_4-5_NoSQL_and_Eventual_Consistency_12-41.srt 12KB
  156. 10_Unit_7-_Predict/09_7-9_Hierarchical_Temporal_Memory_-_II_10-38.srt 12KB
  157. 10_Unit_7-_Predict/02_7-2_Linear_Prediction_11-00.srt 12KB
  158. 04_Unit_3-_Load_-_I/03_3-3_Map-Reduce_11-49.srt 12KB
  159. 09_Unit_6-_Connect/06_6-6_Algebra_of_Potentials_12-05.srt 12KB
  160. 12_Wrap_up_and_Final_Exam/01_Course_Recap_and_Pointers_9-34.srt 12KB
  161. 04_Unit_3-_Load_-_I/04_3-4_Map-Reduce_Example_in_Octo_11-03.srt 12KB
  162. 06_Guest_Lecture_1-_Graph_Databases/02_G2_Graph_Query_Languages_14-03.txt 11KB
  163. 11_Guest_Lecture_2-_Markov_Logic/09_M9_Research_Directions_in_Markov_Logic_6-09.srt 11KB
  164. 05_Unit_4A-_Load_-_II/09_4-8_Relational_vs_Big-Data_Technologies_9-11.srt 11KB
  165. 11_Guest_Lecture_2-_Markov_Logic/05_M5_Related_Models_10-21.txt 11KB
  166. 06_Guest_Lecture_1-_Graph_Databases/04_G4_Challenges_and_Efficiency_8-56.srt 11KB
  167. 09_Unit_6-_Connect/08_6-8-1_Bayesian_Networks_-_1_9-20.srt 11KB
  168. 05_Unit_4A-_Load_-_II/05_4-4_Big-Table_and_HBase_10-08.srt 11KB
  169. 10_Unit_7-_Predict/10_7-10_Blackboard_Architecture_9-06.srt 11KB
  170. 05_Unit_4A-_Load_-_II/08_4-7_Evolution_of_SQL_and_Map-Reduce_9-34.srt 11KB
  171. 11_Guest_Lecture_2-_Markov_Logic/07_M7_Entity_Resolution_Example_-_2_9-53.txt 11KB
  172. 08_Unit_5-_Learn/07_5-7_Learning_Latent_Models_15-57.txt 11KB
  173. 11_Guest_Lecture_2-_Markov_Logic/04_M4_Markov_Logic_Formalism_11-39.txt 11KB
  174. 07_Unit_4B-_Parallel_Graph_Processing/01_4B-1_Iteration_and_Map-Reduce_8-48.srt 11KB
  175. 03_Unit_2-_Listen/12_2-11_Machine_Learning_-_Limits_10-29.srt 11KB
  176. 07_Unit_4B-_Parallel_Graph_Processing/05_4B-5_Shortest_Paths_and_Summary_7-43.srt 10KB
  177. 08_Unit_5-_Learn/04_5-4_Learning_Rules_10-11.srt 10KB
  178. 05_Unit_4A-_Load_-_II/07_4-6_Future_of_NoSQL_and_Dremel_9-28.srt 10KB
  179. 11_Guest_Lecture_2-_Markov_Logic/06_M6_Entity_Resolution_Example_-_1_8-37.txt 10KB
  180. 10_Unit_7-_Predict/06_7-6_Prediction_Applications_8-30.srt 10KB
  181. 09_Unit_6-_Connect/01_6-1_Preamble_9-07.srt 10KB
  182. 10_Unit_7-_Predict/04_7-4_Nonlinear_Models_9-26.srt 10KB
  183. 09_Unit_6-_Connect/03_6-3_Resolution_and_its_Limits_15-58.txt 10KB
  184. 11_Guest_Lecture_2-_Markov_Logic/02_M2_Markov_Networks_and_Logic_8-44.txt 10KB
  185. 04_Unit_3-_Load_-_I/08_3-7_Inside_Map-Reduce_9-47.srt 10KB
  186. 10_Unit_7-_Predict/08_7-8_Hierarchical_Temporal_Memory_-_I_8-39.srt 10KB
  187. 07_Unit_4B-_Parallel_Graph_Processing/03_4B-3_Pregel_Model_8-15.srt 10KB
  188. 10_Unit_7-_Predict/05_7-5_Learning_Parameters_12-35.txt 10KB
  189. 06_Guest_Lecture_1-_Graph_Databases/03_G3_Linked_Open_Data_12-25.txt 10KB
  190. 06_Guest_Lecture_1-_Graph_Databases/01_G1_Introduction_to_Graph_Data_11-36.txt 10KB
  191. 04_Unit_3-_Load_-_I/02_3-2_Parallel_Computing_8-54.srt 10KB
  192. 05_Unit_4A-_Load_-_II/10_4-9_Database_Trends_and_Summary_7-22.srt 9KB
  193. 03_Unit_2-_Listen/11_2-10_Mutual_Information_8-58.srt 9KB
  194. 05_Unit_4A-_Load_-_II/04_4-3_Evolution_of_Databases_8-52.srt 9KB
  195. 11_Guest_Lecture_2-_Markov_Logic/03_M3_Markov_Logic_via_an_Example_8-28.txt 9KB
  196. 04_Unit_3-_Load_-_I/06_3-5_Map-Reduce_Applications_13-52.txt 9KB
  197. 09_Unit_6-_Connect/10_6-9_Information_Extraction_12-41.txt 9KB
  198. 10_Unit_7-_Predict/03_7-3_Least_Squares_12-08.txt 9KB
  199. 09_Unit_6-_Connect/02_6-2_Logical_Inference_9-56.srt 9KB
  200. 08_Unit_5-_Learn/03_5-3_Learning_Groupings_-_Clustering_12-13.txt 9KB
  201. 08_Unit_5-_Learn/05_5-5_Association_Rule_Mining_8-45.srt 9KB
  202. 08_Unit_5-_Learn/02_5-2_Classification_Re-visited_12-56.txt 9KB
  203. 03_Unit_2-_Listen/07_2-7_Machine_Learning_Intro_9-00.srt 9KB
  204. 05_Unit_4A-_Load_-_II/02_4-1_Distributed_File_Systems_12-12.txt 9KB
  205. 03_Unit_2-_Listen/04_2-4_TF-IDF_8-24.srt 9KB
  206. 05_Unit_4A-_Load_-_II/03_4-2_Database_Technology_12-40.txt 9KB
  207. 08_Unit_5-_Learn/06_5-6_Learning_with_Big_Data_7-51.srt 9KB
  208. 03_Unit_2-_Listen/06_2-6_Language_and_Information_8-56.srt 9KB
  209. 07_Unit_4B-_Parallel_Graph_Processing/02_4B-2_Graph_Computing_6-50.srt 9KB
  210. 09_Unit_6-_Connect/07_6-7_Naive_Bayes_Revisited_11-26.txt 8KB
  211. 09_Unit_6-_Connect/05_6-5_Logic_and_Uncertainty_9-09.srt 8KB
  212. 03_Unit_2-_Listen/09_2-8-2_Naive_Bayes_8-33.srt 8KB
  213. 05_Unit_4A-_Load_-_II/06_4-5_NoSQL_and_Eventual_Consistency_12-41.txt 8KB
  214. 06_Guest_Lecture_1-_Graph_Databases/05_G5_Graph_Data_Management_10-26.txt 8KB
  215. 07_Unit_4B-_Parallel_Graph_Processing/04_4B-4_Page-rank_in_Pregel_10-35.txt 8KB
  216. 10_Unit_7-_Predict/07_7-7_Which_Technique_6-13.srt 8KB
  217. 03_Unit_2-_Listen/10_2-9_Sentiment_Analysis_7-32.srt 8KB
  218. 10_Unit_7-_Predict/09_7-9_Hierarchical_Temporal_Memory_-_II_10-38.txt 8KB
  219. 11_Guest_Lecture_2-_Markov_Logic/08_M8_Social_Network_Analysis_using_MLN_7-27.txt 8KB
  220. 10_Unit_7-_Predict/02_7-2_Linear_Prediction_11-00.txt 8KB
  221. 04_Unit_3-_Load_-_I/03_3-3_Map-Reduce_11-49.txt 8KB
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