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

mmds-003 (432 files)
01_Week_1_Materials/01_Distributed_File_Systems_15-50.mp4 28.90MB
01_Week_1_Materials/01_Distributed_File_Systems_15-50.pdf 1.67MB
01_Week_1_Materials/01_Distributed_File_Systems_15-50.srt 24.76kB
01_Week_1_Materials/01_Distributed_File_Systems_15-50.txt 15.00kB
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.mp4 37.39MB
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.pdf 1.34MB
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.srt 30.47kB
01_Week_1_Materials/02_The_MapReduce_Computational_Model_22-04.txt 18.61kB
01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.mp4 21.13MB
01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.pdf 844.73kB
01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.srt 17.49kB
01_Week_1_Materials/03_Scheduling_and_Data_Flow_12-43.txt 10.92kB
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.mp4 20.04MB
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.pdf 1.03MB
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.srt 15.63kB
01_Week_1_Materials/04_Combiners_and_Partition_Functions_12-17_Advanced.txt 9.69kB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.mp4 15.39MB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.pdf 1.75MB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.srt 15.63kB
01_Week_1_Materials/05_Link_Analysis_and_PageRank_9-39.txt 9.58kB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.mp4 14.50MB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.pdf 796.60kB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.srt 14.32kB
01_Week_1_Materials/06_PageRank-_The_Flow_Formulation_9-16.txt 8.65kB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.mp4 13.21MB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.pdf 344.54kB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.srt 11.60kB
01_Week_1_Materials/07_PageRank-_The_Matrix_Formulation_8-02.txt 7.13kB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.mp4 17.02MB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.pdf 396.37kB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.srt 15.04kB
01_Week_1_Materials/08_PageRank-_Power_Iteration_10-34.txt 9.48kB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.mp4 19.31MB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.pdf 912.43kB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.srt 17.87kB
01_Week_1_Materials/09_PageRank-_The_Google_Formulation_12-08.txt 11.33kB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.mp4 19.58MB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.pdf 543.03kB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.srt 17.43kB
01_Week_1_Materials/10_Why_Teleports_Solve_the_Problem_12-26.txt 11.07kB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.mp4 21.03MB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.pdf 1.01MB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.srt 20.64kB
01_Week_1_Materials/11_How_we_Really_Compute_PageRank_13-49.txt 12.81kB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.mp4 21.17MB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.pdf 574.39kB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.srt 18.95kB
02_Week_2_Materials/01_Finding_Similar_Sets_13-37.txt 11.92kB
02_Week_2_Materials/02_Minhashing_25-18.mp4 43.26MB
02_Week_2_Materials/02_Minhashing_25-18.pdf 984.03kB
02_Week_2_Materials/02_Minhashing_25-18.srt 31.19kB
02_Week_2_Materials/02_Minhashing_25-18.txt 19.02kB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.mp4 33.55MB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.pdf 1.18MB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.srt 25.74kB
02_Week_2_Materials/03_Locality-Sensitive_Hashing_19-24.txt 16.15kB
02_Week_2_Materials/04_Applications_of_LSH_11-40.mp4 19.84MB
02_Week_2_Materials/04_Applications_of_LSH_11-40.pdf 789.60kB
02_Week_2_Materials/04_Applications_of_LSH_11-40.srt 17.27kB
02_Week_2_Materials/04_Applications_of_LSH_11-40.txt 10.97kB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.mp4 11.44MB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.pdf 652.61kB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.srt 9.88kB
02_Week_2_Materials/05_Fingerprint_Matching_7-07.txt 6.38kB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.mp4 9.91MB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.pdf 546.57kB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.srt 9.08kB
02_Week_2_Materials/06_Finding_Duplicate_News_Articles_6-08.txt 5.86kB
02_Week_2_Materials/07_Distance_Measures_22-39.mp4 36.20MB
02_Week_2_Materials/07_Distance_Measures_22-39.pdf 1.71MB
02_Week_2_Materials/07_Distance_Measures_22-39.srt 31.00kB
02_Week_2_Materials/07_Distance_Measures_22-39.txt 19.35kB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.mp4 19.99MB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.pdf 853.21kB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.srt 17.65kB
02_Week_2_Materials/08_Nearest_Neighbor_Learning_11-39.txt 11.18kB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.mp4 54.19MB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.pdf 1.45MB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.srt 38.77kB
02_Week_2_Materials/09_Frequent_Itemsets_29-50.txt 23.83kB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.mp4 22.71MB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.pdf 666.59kB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.srt 17.31kB
02_Week_2_Materials/10_A-Priori_Algorithm_13-07.txt 10.80kB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.mp4 29.59MB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.pdf 1.08MB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.srt 24.74kB
02_Week_2_Materials/11_Improvements_to_A-Priori_17-26__Advanced.txt 15.36kB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.mp4 23.58MB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.pdf 1.15MB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.srt 21.18kB
02_Week_2_Materials/12_All_or_Most_Frequent_Itemsets_in_2_Passes_14-40_Advanced.txt 13.17kB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.mp4 8.95MB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.pdf 1.43MB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.srt 9.48kB
03_Week_3_Materials/01_Community_Detection_in_Graphs-_Motivation_5-44.txt 6.09kB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.mp4 15.56MB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.pdf 1.42MB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.srt 16.51kB
03_Week_3_Materials/02_The_Affiliation_Graph_Model_10-04.txt 10.32kB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.mp4 14.09MB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.pdf 599.79kB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.srt 13.53kB
03_Week_3_Materials/03_From_AGM_to_BIGCLAM_8-48.txt 8.60kB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.mp4 15.80MB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.pdf 386.73kB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.srt 14.15kB
03_Week_3_Materials/04_Solving_the_BIGCLAM_9-19.txt 8.84kB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.mp4 15.18MB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.pdf 1.17MB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.srt 13.83kB
03_Week_3_Materials/05_Detecting_Communities_as_Clusters_8-39_Advanced.txt 8.80kB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.mp4 14.26MB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.pdf 449.11kB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.srt 14.12kB
03_Week_3_Materials/06_What_Makes_a_Good_Cluster_8-48_Advanced.txt 8.39kB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.mp4 10.52MB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.pdf 782.86kB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.srt 10.95kB
03_Week_3_Materials/07_The_Graph_Laplacian_Matrix_6-51_Advanced.txt 6.86kB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.mp4 9.72MB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.pdf 269.83kB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.srt 9.83kB
03_Week_3_Materials/08_Examples_of_Eigendecompositions_of_Graphs_6-16_Advanced.txt 6.05kB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.mp4 5.43MB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.pdf 221.30kB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.srt 4.91kB
03_Week_3_Materials/09_Defining_the_Graph_Laplacian_3-27_Advanced.txt 3.15kB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.mp4 19.73MB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.pdf 767.43kB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.srt 20.22kB
03_Week_3_Materials/10_Spectral_Graph_Partitioning-_Finding_a_Partition_13-25_Advanced.txt 12.63kB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.mp4 10.89MB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.pdf 515.26kB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.srt 11.16kB
03_Week_3_Materials/11_Spectral_Clustering-_Three_Steps_7-17_Advanced.txt 7.03kB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.mp4 14.76MB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.pdf 880.75kB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.srt 12.79kB
03_Week_3_Materials/12_Analysis_of_Large_Graphs-_Trawling_9-02_Advanced.txt 7.75kB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.mp4 19.79MB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.pdf 501.17kB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.srt 16.48kB
03_Week_3_Materials/13_Mining_Data_Streams_12-01.txt 10.29kB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.mp4 46.23MB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.pdf 820.47kB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.srt 34.50kB
03_Week_3_Materials/14_Counting_1s_29-00_Advanced.txt 21.21kB
03_Week_3_Materials/15_Bloom_Filters_18-00.mp4 29.80MB
03_Week_3_Materials/15_Bloom_Filters_18-00.pdf 850.76kB
03_Week_3_Materials/15_Bloom_Filters_18-00.srt 21.39kB
03_Week_3_Materials/15_Bloom_Filters_18-00.txt 12.96kB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.mp4 18.50MB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.pdf 724.19kB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.srt 16.69kB
03_Week_3_Materials/16_Sampling_a_Stream_11-30.txt 10.36kB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.mp4 39.58MB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.pdf 1.02MB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.srt 33.41kB
03_Week_3_Materials/17_Counting_Distinct_Elements_25-59_Advanced.txt 20.78kB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.mp4 30.38MB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.pdf 1.36MB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.srt 26.72kB
04_Week_4_Materials/01_Overview_of_Recommender_Systems_16-51.txt 16.54kB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.mp4 35.80MB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.pdf 1.17MB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.srt 28.56kB
04_Week_4_Materials/02_Content-Based_Recommendations_21-00.txt 17.68kB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.mp4 30.60MB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.pdf 1.43MB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.srt 28.90kB
04_Week_4_Materials/03_Collaborative_Filtering_20-52.txt 17.98kB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.mp4 20.96MB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.pdf 901.26kB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.srt 19.17kB
04_Week_4_Materials/04_Implementing_Collaborative_Filtering_13-46_Advanced.txt 11.99kB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.mp4 9.77MB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.pdf 574.02kB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.srt 8.38kB
04_Week_4_Materials/05_Evaluating_Recommender_Systems_6-09.txt 5.36kB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.mp4 19.26MB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.pdf 1.04MB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.srt 19.39kB
04_Week_4_Materials/06_Dimensionality_Reduction-_Introduction_12-01.txt 12.54kB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.mp4 20.25MB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.pdf 518.09kB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.srt 20.98kB
04_Week_4_Materials/07_Singular-Value_Decomposition_13-39.txt 13.21kB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.mp4 13.17MB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.pdf 637.31kB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.srt 13.75kB
04_Week_4_Materials/08_Dimensionality_Reduction_with_SVD_9-04.txt 8.74kB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.mp4 12.95MB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.pdf 376.85kB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.srt 12.20kB
04_Week_4_Materials/09_SVD_Gives_the_Best_Low-Rank_Approximation_8-28_Advanced.txt 7.73kB
04_Week_4_Materials/10_SVD_Example_and_Conclusion_11-58.mp4 18.64MB
04_Week_4_Materials/10_SVD_Example_and_Conclusion_11-58.pdf 746.53kB
04_Week_4_Materials/10_SVD_Example_and_Conclusion_11-58.srt 17.32kB
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Type: Course
Tags:Coursera, mmds

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


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Best Time 7 minutes, 15 seconds
Best Speed 5.90MB/s
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