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bigdata-004
magnet:?xt=urn:btih:8921ec4d2076e8a6e56a2387d5157aa7c0ef7f10&dn=bigdata-004
磁力链接详情
Hash值:
8921ec4d2076e8a6e56a2387d5157aa7c0ef7f10
点击数:
70
文件大小:
1.09 GB
文件数量:
107
创建日期:
2020-8-14 18:04
最后访问:
2024-9-5 19:41
访问标签:
bigdata-004
文件列表详情
01_Unit_0-_Introduction/01_0-0_Preamble_3-26.mp4 6.03 MB
01_Unit_0-_Introduction/02_0-1_Revisiting_Turings_Test_3-09.mp4 4.2 MB
01_Unit_0-_Introduction/03_0-2_Web-Scale_AI_and_Big_Data_3-58.mp4 5.24 MB
01_Unit_0-_Introduction/04_0-3-1_Web_Intelligence_3-22.mp4 4.62 MB
01_Unit_0-_Introduction/05_0-3-2_Big_Data_6-15.mp4 7.93 MB
01_Unit_0-_Introduction/06_0-4_Course_Outline_4-13.mp4 6.08 MB
01_Unit_0-_Introduction/07_0-5_Recap_and_Preview_2-37.mp4 6.7 MB
02_Unit_1-_Look/01_1-1_Basic_Indexing_7-22.mp4 8.87 MB
02_Unit_1-_Look/02_1-2_Index_Creation_5-40.mp4 7.18 MB
02_Unit_1-_Look/03_1-3_Complexity_of_Index_Creation_3-28.mp4 4.76 MB
02_Unit_1-_Look/04_1-4-1_Ranking_-_1_4-24.mp4 5.39 MB
02_Unit_1-_Look/05_1-4-2_Ranking_-_2_4-48.mp4 6.41 MB
02_Unit_1-_Look/06_1-5-1_Page_Rank_and_Memory_6-01.mp4 7.98 MB
02_Unit_1-_Look/07_1-5-2_Google_and_the_Mind_5-18.mp4 7.12 MB
02_Unit_1-_Look/08_1-6-1_Enterprise_Search_4-41.mp4 5.97 MB
02_Unit_1-_Look/09_1-6-2_Searching_Structured_Data_6-25.mp4 8.57 MB
02_Unit_1-_Look/10_1-7-1_Object_Search_5-07.mp4 6.54 MB
02_Unit_1-_Look/11_1-7-2_Locality_Sensitive_Hashing_4-51.mp4 6.2 MB
02_Unit_1-_Look/12_1-7-3_LSH_Example_-_1_3-17.mp4 4.8 MB
02_Unit_1-_Look/13_1-7-4_LSH_Example_-_2_1-54.mp4 2.88 MB
02_Unit_1-_Look/14_1-7-5_LSH_Intuition_4-08.mp4 5.09 MB
02_Unit_1-_Look/15_1-7-6_High-dimensional_Objects_8-19.mp4 10.42 MB
02_Unit_1-_Look/16_1-7-7_Associative_Memories_5-25.mp4 7.7 MB
02_Unit_1-_Look/17_1-7-8_Recap_and_Preview_2-44.mp4 3 MB
03_Unit_2-_Listen/01_2-1_Preamble_-_Listen_3-18.mp4 3.89 MB
03_Unit_2-_Listen/02_2-2_Shannon_Information_6-18.mp4 8.23 MB
03_Unit_2-_Listen/03_2-3_Information_and_Advertising_5-49.mp4 7.45 MB
03_Unit_2-_Listen/04_2-4_TF-IDF_8-24.mp4 10.85 MB
03_Unit_2-_Listen/05_2-5_TF-IDF_Example_6-09.mp4 8.05 MB
03_Unit_2-_Listen/06_2-6_Language_and_Information_8-56.mp4 11.66 MB
03_Unit_2-_Listen/07_2-7_Machine_Learning_Intro_9-00.mp4 8.31 MB
03_Unit_2-_Listen/08_2-8-1_Bayes_Rule_4-55.mp4 6.21 MB
03_Unit_2-_Listen/09_2-8-2_Naive_Bayes_8-33.mp4 10.81 MB
03_Unit_2-_Listen/10_2-9_Sentiment_Analysis_7-32.mp4 7.08 MB
03_Unit_2-_Listen/11_2-10_Mutual_Information_8-58.mp4 8.61 MB
03_Unit_2-_Listen/12_2-11_Machine_Learning_-_Limits_10-29.mp4 13.68 MB
03_Unit_2-_Listen/13_2-12_Recap_and_Preview_3-14.mp4 4.32 MB
04_Unit_3-_Load_-_I/01_3-1_Preamble_4-41.mp4 5.84 MB
04_Unit_3-_Load_-_I/02_3-2_Parallel_Computing_8-54.mp4 10.73 MB
04_Unit_3-_Load_-_I/03_3-3_Map-Reduce_11-49.mp4 14.9 MB
04_Unit_3-_Load_-_I/04_3-4_Map-Reduce_Example_in_Octo_11-03.mp4 15.75 MB
04_Unit_3-_Load_-_I/05_3-4-1_Map-Reduce_Example_in_Mincemeat_2-04.mp4 2.79 MB
04_Unit_3-_Load_-_I/06_3-5_Map-Reduce_Applications_13-52.mp4 17.87 MB
04_Unit_3-_Load_-_I/07_3-6_Parallel_Efficiency_of_Map-Reduce_8-42.mp4 11.1 MB
04_Unit_3-_Load_-_I/08_3-7_Inside_Map-Reduce_9-47.mp4 12.06 MB
05_Unit_4A-_Load_-_II/01_4-0_Preamble_1-43.mp4 1.98 MB
05_Unit_4A-_Load_-_II/02_4-1_Distributed_File_Systems_12-12.mp4 14.69 MB
05_Unit_4A-_Load_-_II/03_4-2_Database_Technology_12-40.mp4 16.11 MB
05_Unit_4A-_Load_-_II/04_4-3_Evolution_of_Databases_8-52.mp4 11.02 MB
05_Unit_4A-_Load_-_II/05_4-4_Big-Table_and_HBase_10-08.mp4 12.09 MB
05_Unit_4A-_Load_-_II/06_4-5_NoSQL_and_Eventual_Consistency_12-41.mp4 16.35 MB
05_Unit_4A-_Load_-_II/07_4-6_Future_of_NoSQL_and_Dremel_9-28.mp4 11.74 MB
05_Unit_4A-_Load_-_II/08_4-7_Evolution_of_SQL_and_Map-Reduce_9-34.mp4 11.82 MB
05_Unit_4A-_Load_-_II/09_4-8_Relational_vs_Big-Data_Technologies_9-11.mp4 14.35 MB
05_Unit_4A-_Load_-_II/10_4-9_Database_Trends_and_Summary_7-22.mp4 11.88 MB
06_Guest_Lecture_1-_Graph_Databases/01_G1_Introduction_to_Graph_Data_11-36.mp4 17.27 MB
06_Guest_Lecture_1-_Graph_Databases/02_G2_Graph_Query_Languages_14-03.mp4 21.11 MB
06_Guest_Lecture_1-_Graph_Databases/03_G3_Linked_Open_Data_12-25.mp4 20.26 MB
06_Guest_Lecture_1-_Graph_Databases/04_G4_Challenges_and_Efficiency_8-56.mp4 13.73 MB
06_Guest_Lecture_1-_Graph_Databases/05_G5_Graph_Data_Management_10-26.mp4 15.81 MB
06_Guest_Lecture_1-_Graph_Databases/06_G6_Q__A_5-03.mp4 7.94 MB
07_Unit_4B-_Parallel_Graph_Processing/01_4B-1_Iteration_and_Map-Reduce_8-48.mp4 7.95 MB
07_Unit_4B-_Parallel_Graph_Processing/02_4B-2_Graph_Computing_6-50.mp4 5.98 MB
07_Unit_4B-_Parallel_Graph_Processing/03_4B-3_Pregel_Model_8-15.mp4 7.48 MB
07_Unit_4B-_Parallel_Graph_Processing/04_4B-4_Page-rank_in_Pregel_10-35.mp4 12.86 MB
07_Unit_4B-_Parallel_Graph_Processing/05_4B-5_Shortest_Paths_and_Summary_7-43.mp4 20.76 MB
08_Unit_5-_Learn/01_5-1_Preamble_3-18.mp4 3.96 MB
08_Unit_5-_Learn/02_5-2_Classification_Re-visited_12-56.mp4 17.04 MB
08_Unit_5-_Learn/03_5-3_Learning_Groupings_-_Clustering_12-13.mp4 16.07 MB
08_Unit_5-_Learn/04_5-4_Learning_Rules_10-11.mp4 13.14 MB
08_Unit_5-_Learn/05_5-5_Association_Rule_Mining_8-45.mp4 11.29 MB
08_Unit_5-_Learn/06_5-6_Learning_with_Big_Data_7-51.mp4 10.38 MB
08_Unit_5-_Learn/07_5-7_Learning_Latent_Models_15-57.mp4 19.61 MB
08_Unit_5-_Learn/08_5-8_Grounded_Learning_5-42.mp4 7.36 MB
08_Unit_5-_Learn/09_5-9_Recap_and_Preview_2-33.mp4 3.25 MB
09_Unit_6-_Connect/01_6-1_Preamble_9-07.mp4 11.66 MB
09_Unit_6-_Connect/02_6-2_Logical_Inference_9-56.mp4 12.71 MB
09_Unit_6-_Connect/03_6-3_Resolution_and_its_Limits_15-58.mp4 20.26 MB
09_Unit_6-_Connect/04_6-4_Semantic_Web_6-18.mp4 8.31 MB
09_Unit_6-_Connect/05_6-5_Logic_and_Uncertainty_9-09.mp4 11.57 MB
09_Unit_6-_Connect/06_6-6_Algebra_of_Potentials_12-05.mp4 15.33 MB
09_Unit_6-_Connect/07_6-7_Naive_Bayes_Revisited_11-26.mp4 14.38 MB
09_Unit_6-_Connect/08_6-8-1_Bayesian_Networks_-_1_9-20.mp4 11.78 MB
09_Unit_6-_Connect/09_6-8-2_Bayesian_Networks_-_2_5-23.mp4 7.2 MB
09_Unit_6-_Connect/10_6-9_Information_Extraction_12-41.mp4 16.56 MB
09_Unit_6-_Connect/11_6-10_Recap_and_Preview_7-00.mp4 9.06 MB
09_Unit_6-_Connect/12_6-11-Programming_HW_6_4-24.mp4 5.95 MB
10_Unit_7-_Predict/01_7-1_Preamble_2-34.mp4 3.02 MB
10_Unit_7-_Predict/02_7-2_Linear_Prediction_11-00.mp4 13.63 MB
10_Unit_7-_Predict/03_7-3_Least_Squares_12-08.mp4 15.35 MB
10_Unit_7-_Predict/04_7-4_Nonlinear_Models_9-26.mp4 11.56 MB
10_Unit_7-_Predict/05_7-5_Learning_Parameters_12-35.mp4 16.14 MB
10_Unit_7-_Predict/06_7-6_Prediction_Applications_8-30.mp4 10.94 MB
10_Unit_7-_Predict/07_7-7_Which_Technique_6-13.mp4 8.01 MB
10_Unit_7-_Predict/08_7-8_Hierarchical_Temporal_Memory_-_I_8-39.mp4 11.19 MB
10_Unit_7-_Predict/09_7-9_Hierarchical_Temporal_Memory_-_II_10-38.mp4 13.76 MB
10_Unit_7-_Predict/10_7-10_Blackboard_Architecture_9-06.mp4 12.07 MB
11_Guest_Lecture_2-_Markov_Logic/01_M1_Motivation_11-59.mp4 15.31 MB
11_Guest_Lecture_2-_Markov_Logic/02_M2_Markov_Networks_and_Logic_8-44.mp4 11.98 MB
11_Guest_Lecture_2-_Markov_Logic/03_M3_Markov_Logic_via_an_Example_8-28.mp4 11.77 MB
11_Guest_Lecture_2-_Markov_Logic/04_M4_Markov_Logic_Formalism_11-39.mp4 16.72 MB
11_Guest_Lecture_2-_Markov_Logic/05_M5_Related_Models_10-21.mp4 15.43 MB
11_Guest_Lecture_2-_Markov_Logic/06_M6_Entity_Resolution_Example_-_1_8-37.mp4 13.03 MB
11_Guest_Lecture_2-_Markov_Logic/07_M7_Entity_Resolution_Example_-_2_9-53.mp4 15.2 MB
11_Guest_Lecture_2-_Markov_Logic/08_M8_Social_Network_Analysis_using_MLN_7-27.mp4 10.24 MB
11_Guest_Lecture_2-_Markov_Logic/09_M9_Research_Directions_in_Markov_Logic_6-09.mp4 8.01 MB
12_Wrap_up_and_Final_Exam/01_Course_Recap_and_Pointers_9-34.mp4 11.54 MB
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