[Coursera] Mining Massive Datasets (Stanford University) (mmds)
Stanford University

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01_Week_1_Materials/01_Distributed_File_Systems_15-50.mp428.90MB
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01_Week_1_Materials/01_Distributed_File_Systems_15-50.txt15.00kB
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.mp437.39MB
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01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.mp421.13MB
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01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.txt10.92kB
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.mp420.04MB
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01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.mp415.39MB
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01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.mp414.50MB
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03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.mp48.95MB
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03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.mp415.56MB
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03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.mp414.09MB
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03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.mp415.80MB
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03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.mp415.18MB
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03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.mp410.52MB
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03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.mp49.72MB
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03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.mp419.73MB
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03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.mp410.89MB
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03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.mp414.76MB
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03_Week_3_Materials/13_Mining_Data_Streams_12-01.mp419.79MB
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04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.mp430.38MB
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04_Week_4_Materials/02_Content-Based_Recommendations_21-00.mp435.80MB
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04_Week_4_Materials/03_Collaborative_Filtering_20-52.mp430.60MB
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04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.mp420.96MB
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