[Coursera] Mining Massive Datasets (Stanford University) (mmds)
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mmds-003 (432 files)
01_Week_1_Materials/01_Distributed_File_Systems_15-50.mp428.90MB
01_Week_1_Materials/01_Distributed_File_Systems_15-50.pdf1.67MB
01_Week_1_Materials/01_Distributed_File_Systems_15-50.srt24.76kB
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
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.pdf1.34MB
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.srt30.47kB
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.txt18.61kB
01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.mp421.13MB
01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.pdf844.73kB
01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.srt17.49kB
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
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.pdf1.03MB
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.srt15.63kB
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.txt9.69kB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.mp415.39MB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.pdf1.75MB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.srt15.63kB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.txt9.58kB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.mp414.50MB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.pdf796.60kB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.srt14.32kB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.txt8.65kB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.mp413.21MB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.pdf344.54kB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.srt11.60kB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.txt7.13kB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.mp417.02MB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.pdf396.37kB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.srt15.04kB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.txt9.48kB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.mp419.31MB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.pdf912.43kB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.srt17.87kB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.txt11.33kB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.mp419.58MB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.pdf543.03kB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.srt17.43kB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.txt11.07kB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.mp421.03MB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.pdf1.01MB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.srt20.64kB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.txt12.81kB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.mp421.17MB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.pdf574.39kB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.srt18.95kB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.txt11.92kB
02_Week_2_Materials/02_Minhashing_25-18.mp443.26MB
02_Week_2_Materials/02_Minhashing_25-18.pdf984.03kB
02_Week_2_Materials/02_Minhashing_25-18.srt31.19kB
02_Week_2_Materials/02_Minhashing_25-18.txt19.02kB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.mp433.55MB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.pdf1.18MB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.srt25.74kB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.txt16.15kB
02_Week_2_Materials/04_Applications_of_LSH_11-40.mp419.84MB
02_Week_2_Materials/04_Applications_of_LSH_11-40.pdf789.60kB
02_Week_2_Materials/04_Applications_of_LSH_11-40.srt17.27kB
02_Week_2_Materials/04_Applications_of_LSH_11-40.txt10.97kB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.mp411.44MB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.pdf652.61kB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.srt9.88kB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.txt6.38kB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.mp49.91MB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.pdf546.57kB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.srt9.08kB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.txt5.86kB
02_Week_2_Materials/07_Distance_Measures_22-39.mp436.20MB
02_Week_2_Materials/07_Distance_Measures_22-39.pdf1.71MB
02_Week_2_Materials/07_Distance_Measures_22-39.srt31.00kB
02_Week_2_Materials/07_Distance_Measures_22-39.txt19.35kB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.mp419.99MB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.pdf853.21kB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.srt17.65kB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.txt11.18kB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.mp454.19MB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.pdf1.45MB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.srt38.77kB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.txt23.83kB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.mp422.71MB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.pdf666.59kB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.srt17.31kB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.txt10.80kB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.mp429.59MB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.pdf1.08MB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.srt24.74kB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.txt15.36kB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.mp423.58MB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.pdf1.15MB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.srt21.18kB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.txt13.17kB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.mp48.95MB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.pdf1.43MB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.srt9.48kB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.txt6.09kB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.mp415.56MB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.pdf1.42MB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.srt16.51kB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.txt10.32kB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.mp414.09MB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.pdf599.79kB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.srt13.53kB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.txt8.60kB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.mp415.80MB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.pdf386.73kB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.srt14.15kB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.txt8.84kB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.mp415.18MB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.pdf1.17MB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.srt13.83kB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.txt8.80kB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.mp414.26MB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.pdf449.11kB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.srt14.12kB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.txt8.39kB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.mp410.52MB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.pdf782.86kB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.srt10.95kB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.txt6.86kB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.mp49.72MB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.pdf269.83kB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.srt9.83kB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.txt6.05kB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.mp45.43MB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.pdf221.30kB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.srt4.91kB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.txt3.15kB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.mp419.73MB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.pdf767.43kB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.srt20.22kB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.txt12.63kB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.mp410.89MB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.pdf515.26kB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.srt11.16kB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.txt7.03kB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.mp414.76MB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.pdf880.75kB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.srt12.79kB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.txt7.75kB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.mp419.79MB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.pdf501.17kB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.srt16.48kB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.txt10.29kB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.mp446.23MB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.pdf820.47kB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.srt34.50kB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.txt21.21kB
03_Week_3_Materials/15_Bloom_Filters_18-00.mp429.80MB
03_Week_3_Materials/15_Bloom_Filters_18-00.pdf850.76kB
03_Week_3_Materials/15_Bloom_Filters_18-00.srt21.39kB
03_Week_3_Materials/15_Bloom_Filters_18-00.txt12.96kB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.mp418.50MB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.pdf724.19kB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.srt16.69kB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.txt10.36kB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.mp439.58MB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.pdf1.02MB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.srt33.41kB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.txt20.78kB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.mp430.38MB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.pdf1.36MB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.srt26.72kB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.txt16.54kB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.mp435.80MB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.pdf1.17MB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.srt28.56kB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.txt17.68kB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.mp430.60MB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.pdf1.43MB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.srt28.90kB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.txt17.98kB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.mp420.96MB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.pdf901.26kB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.srt19.17kB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.txt11.99kB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.mp49.77MB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.pdf574.02kB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.srt8.38kB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.txt5.36kB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.mp419.26MB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.pdf1.04MB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.srt19.39kB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.txt12.54kB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.mp420.25MB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.pdf518.09kB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.srt20.98kB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.txt13.21kB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.mp413.17MB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.pdf637.31kB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.srt13.75kB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.txt8.74kB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.mp412.95MB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.pdf376.85kB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.srt12.20kB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.txt7.73kB
04_Week_4_Materials/10_SVD_Example_and_Conclusion_11-58.mp418.64MB
04_Week_4_Materials/10_SVD_Example_and_Conclusion_11-58.pdf746.53kB
04_Week_4_Materials/10_SVD_Example_and_Conclusion_11-58.srt17.32kB
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Type: Course
Tags: Coursera, mmds

Bibtex:
@article{,
    title = {[Coursera] Mining Massive Datasets (Stanford University) (mmds)},
    author = {Stanford University}
    }