bigdata-004

1. 01_Unit_0-_Introduction/01_0-0_Preamble_3-26.mp46.03MB
2. 01_Unit_0-_Introduction/02_0-1_Revisiting_Turings_Test_3-09.mp44.2MB
3. 01_Unit_0-_Introduction/03_0-2_Web-Scale_AI_and_Big_Data_3-58.mp45.24MB
4. 01_Unit_0-_Introduction/04_0-3-1_Web_Intelligence_3-22.mp44.62MB
5. 01_Unit_0-_Introduction/05_0-3-2_Big_Data_6-15.mp47.93MB
6. 01_Unit_0-_Introduction/06_0-4_Course_Outline_4-13.mp46.08MB
7. 01_Unit_0-_Introduction/07_0-5_Recap_and_Preview_2-37.mp46.7MB
8. 02_Unit_1-_Look/01_1-1_Basic_Indexing_7-22.mp48.87MB
9. 02_Unit_1-_Look/02_1-2_Index_Creation_5-40.mp47.18MB
10. 02_Unit_1-_Look/03_1-3_Complexity_of_Index_Creation_3-28.mp44.76MB
11. 02_Unit_1-_Look/04_1-4-1_Ranking_-_1_4-24.mp45.39MB
12. 02_Unit_1-_Look/05_1-4-2_Ranking_-_2_4-48.mp46.41MB
13. 02_Unit_1-_Look/06_1-5-1_Page_Rank_and_Memory_6-01.mp47.98MB
14. 02_Unit_1-_Look/07_1-5-2_Google_and_the_Mind_5-18.mp47.12MB
15. 02_Unit_1-_Look/08_1-6-1_Enterprise_Search_4-41.mp45.97MB
16. 02_Unit_1-_Look/09_1-6-2_Searching_Structured_Data_6-25.mp48.57MB
17. 02_Unit_1-_Look/10_1-7-1_Object_Search_5-07.mp46.54MB
18. 02_Unit_1-_Look/11_1-7-2_Locality_Sensitive_Hashing_4-51.mp46.2MB
19. 02_Unit_1-_Look/12_1-7-3_LSH_Example_-_1_3-17.mp44.8MB
20. 02_Unit_1-_Look/13_1-7-4_LSH_Example_-_2_1-54.mp42.88MB
21. 02_Unit_1-_Look/14_1-7-5_LSH_Intuition_4-08.mp45.09MB
22. 02_Unit_1-_Look/15_1-7-6_High-dimensional_Objects_8-19.mp410.42MB
23. 02_Unit_1-_Look/16_1-7-7_Associative_Memories_5-25.mp47.7MB
24. 02_Unit_1-_Look/17_1-7-8_Recap_and_Preview_2-44.mp43MB
25. 03_Unit_2-_Listen/01_2-1_Preamble_-_Listen_3-18.mp43.89MB
26. 03_Unit_2-_Listen/02_2-2_Shannon_Information_6-18.mp48.23MB
27. 03_Unit_2-_Listen/03_2-3_Information_and_Advertising_5-49.mp47.45MB
28. 03_Unit_2-_Listen/04_2-4_TF-IDF_8-24.mp410.85MB
29. 03_Unit_2-_Listen/05_2-5_TF-IDF_Example_6-09.mp48.05MB
30. 03_Unit_2-_Listen/06_2-6_Language_and_Information_8-56.mp411.66MB
31. 03_Unit_2-_Listen/07_2-7_Machine_Learning_Intro_9-00.mp48.31MB
32. 03_Unit_2-_Listen/08_2-8-1_Bayes_Rule_4-55.mp46.21MB
33. 03_Unit_2-_Listen/09_2-8-2_Naive_Bayes_8-33.mp410.81MB
34. 03_Unit_2-_Listen/10_2-9_Sentiment_Analysis_7-32.mp47.08MB
35. 03_Unit_2-_Listen/11_2-10_Mutual_Information_8-58.mp48.61MB
36. 03_Unit_2-_Listen/12_2-11_Machine_Learning_-_Limits_10-29.mp413.68MB
37. 03_Unit_2-_Listen/13_2-12_Recap_and_Preview_3-14.mp44.32MB
38. 04_Unit_3-_Load_-_I/01_3-1_Preamble_4-41.mp45.84MB
39. 04_Unit_3-_Load_-_I/02_3-2_Parallel_Computing_8-54.mp410.73MB
40. 04_Unit_3-_Load_-_I/03_3-3_Map-Reduce_11-49.mp414.9MB
41. 04_Unit_3-_Load_-_I/04_3-4_Map-Reduce_Example_in_Octo_11-03.mp415.75MB
42. 04_Unit_3-_Load_-_I/05_3-4-1_Map-Reduce_Example_in_Mincemeat_2-04.mp42.79MB
43. 04_Unit_3-_Load_-_I/06_3-5_Map-Reduce_Applications_13-52.mp417.87MB
44. 04_Unit_3-_Load_-_I/07_3-6_Parallel_Efficiency_of_Map-Reduce_8-42.mp411.1MB
45. 04_Unit_3-_Load_-_I/08_3-7_Inside_Map-Reduce_9-47.mp412.06MB
46. 05_Unit_4A-_Load_-_II/01_4-0_Preamble_1-43.mp41.98MB
47. 05_Unit_4A-_Load_-_II/02_4-1_Distributed_File_Systems_12-12.mp414.69MB
48. 05_Unit_4A-_Load_-_II/03_4-2_Database_Technology_12-40.mp416.11MB
49. 05_Unit_4A-_Load_-_II/04_4-3_Evolution_of_Databases_8-52.mp411.02MB
50. 05_Unit_4A-_Load_-_II/05_4-4_Big-Table_and_HBase_10-08.mp412.09MB
51. 05_Unit_4A-_Load_-_II/06_4-5_NoSQL_and_Eventual_Consistency_12-41.mp416.35MB
52. 05_Unit_4A-_Load_-_II/07_4-6_Future_of_NoSQL_and_Dremel_9-28.mp411.74MB
53. 05_Unit_4A-_Load_-_II/08_4-7_Evolution_of_SQL_and_Map-Reduce_9-34.mp411.82MB
54. 05_Unit_4A-_Load_-_II/09_4-8_Relational_vs_Big-Data_Technologies_9-11.mp414.35MB
55. 05_Unit_4A-_Load_-_II/10_4-9_Database_Trends_and_Summary_7-22.mp411.88MB
56. 06_Guest_Lecture_1-_Graph_Databases/01_G1_Introduction_to_Graph_Data_11-36.mp417.27MB
57. 06_Guest_Lecture_1-_Graph_Databases/02_G2_Graph_Query_Languages_14-03.mp421.11MB
58. 06_Guest_Lecture_1-_Graph_Databases/03_G3_Linked_Open_Data_12-25.mp420.26MB
59. 06_Guest_Lecture_1-_Graph_Databases/04_G4_Challenges_and_Efficiency_8-56.mp413.73MB
60. 06_Guest_Lecture_1-_Graph_Databases/05_G5_Graph_Data_Management_10-26.mp415.81MB
61. 06_Guest_Lecture_1-_Graph_Databases/06_G6_Q__A_5-03.mp47.94MB
62. 07_Unit_4B-_Parallel_Graph_Processing/01_4B-1_Iteration_and_Map-Reduce_8-48.mp47.95MB
63. 07_Unit_4B-_Parallel_Graph_Processing/02_4B-2_Graph_Computing_6-50.mp45.98MB
64. 07_Unit_4B-_Parallel_Graph_Processing/03_4B-3_Pregel_Model_8-15.mp47.48MB
65. 07_Unit_4B-_Parallel_Graph_Processing/04_4B-4_Page-rank_in_Pregel_10-35.mp412.86MB
66. 07_Unit_4B-_Parallel_Graph_Processing/05_4B-5_Shortest_Paths_and_Summary_7-43.mp420.76MB
67. 08_Unit_5-_Learn/01_5-1_Preamble_3-18.mp43.96MB
68. 08_Unit_5-_Learn/02_5-2_Classification_Re-visited_12-56.mp417.04MB
69. 08_Unit_5-_Learn/03_5-3_Learning_Groupings_-_Clustering_12-13.mp416.07MB
70. 08_Unit_5-_Learn/04_5-4_Learning_Rules_10-11.mp413.14MB
71. 08_Unit_5-_Learn/05_5-5_Association_Rule_Mining_8-45.mp411.29MB
72. 08_Unit_5-_Learn/06_5-6_Learning_with_Big_Data_7-51.mp410.38MB
73. 08_Unit_5-_Learn/07_5-7_Learning_Latent_Models_15-57.mp419.61MB
74. 08_Unit_5-_Learn/08_5-8_Grounded_Learning_5-42.mp47.36MB
75. 08_Unit_5-_Learn/09_5-9_Recap_and_Preview_2-33.mp43.25MB
76. 09_Unit_6-_Connect/01_6-1_Preamble_9-07.mp411.66MB
77. 09_Unit_6-_Connect/02_6-2_Logical_Inference_9-56.mp412.71MB
78. 09_Unit_6-_Connect/03_6-3_Resolution_and_its_Limits_15-58.mp420.26MB
79. 09_Unit_6-_Connect/04_6-4_Semantic_Web_6-18.mp48.31MB
80. 09_Unit_6-_Connect/05_6-5_Logic_and_Uncertainty_9-09.mp411.57MB
81. 09_Unit_6-_Connect/06_6-6_Algebra_of_Potentials_12-05.mp415.33MB
82. 09_Unit_6-_Connect/07_6-7_Naive_Bayes_Revisited_11-26.mp414.38MB
83. 09_Unit_6-_Connect/08_6-8-1_Bayesian_Networks_-_1_9-20.mp411.78MB
84. 09_Unit_6-_Connect/09_6-8-2_Bayesian_Networks_-_2_5-23.mp47.2MB
85. 09_Unit_6-_Connect/10_6-9_Information_Extraction_12-41.mp416.56MB
86. 09_Unit_6-_Connect/11_6-10_Recap_and_Preview_7-00.mp49.06MB
87. 09_Unit_6-_Connect/12_6-11-Programming_HW_6_4-24.mp45.95MB
88. 10_Unit_7-_Predict/01_7-1_Preamble_2-34.mp43.02MB
89. 10_Unit_7-_Predict/02_7-2_Linear_Prediction_11-00.mp413.63MB
90. 10_Unit_7-_Predict/03_7-3_Least_Squares_12-08.mp415.35MB
91. 10_Unit_7-_Predict/04_7-4_Nonlinear_Models_9-26.mp411.56MB
92. 10_Unit_7-_Predict/05_7-5_Learning_Parameters_12-35.mp416.14MB
93. 10_Unit_7-_Predict/06_7-6_Prediction_Applications_8-30.mp410.94MB
94. 10_Unit_7-_Predict/07_7-7_Which_Technique_6-13.mp48.01MB
95. 10_Unit_7-_Predict/08_7-8_Hierarchical_Temporal_Memory_-_I_8-39.mp411.19MB
96. 10_Unit_7-_Predict/09_7-9_Hierarchical_Temporal_Memory_-_II_10-38.mp413.76MB
97. 10_Unit_7-_Predict/10_7-10_Blackboard_Architecture_9-06.mp412.07MB
98. 11_Guest_Lecture_2-_Markov_Logic/01_M1_Motivation_11-59.mp415.31MB
99. 11_Guest_Lecture_2-_Markov_Logic/02_M2_Markov_Networks_and_Logic_8-44.mp411.98MB
100. 11_Guest_Lecture_2-_Markov_Logic/03_M3_Markov_Logic_via_an_Example_8-28.mp411.77MB
101. 11_Guest_Lecture_2-_Markov_Logic/04_M4_Markov_Logic_Formalism_11-39.mp416.72MB
102. 11_Guest_Lecture_2-_Markov_Logic/05_M5_Related_Models_10-21.mp415.43MB
103. 11_Guest_Lecture_2-_Markov_Logic/06_M6_Entity_Resolution_Example_-_1_8-37.mp413.03MB
104. 11_Guest_Lecture_2-_Markov_Logic/07_M7_Entity_Resolution_Example_-_2_9-53.mp415.2MB
105. 11_Guest_Lecture_2-_Markov_Logic/08_M8_Social_Network_Analysis_using_MLN_7-27.mp410.24MB
106. 11_Guest_Lecture_2-_Markov_Logic/09_M9_Research_Directions_in_Markov_Logic_6-09.mp48.01MB
107. 12_Wrap_up_and_Final_Exam/01_Course_Recap_and_Pointers_9-34.mp411.54MB