Name: [Coursera] Mining Massive Datasets (Stanford University) (mmds)
Creator: Stanford University
License: https://academictorrents.com/nolicensespecified

Info hash	91bc48e6c8341de198c970acccdc87199391ab46
Last mirror activity	0:06 ago
Size	2.57GB (2,566,408,195 bytes)
Added	2017-03-05 01:25:22
Views	1946
Hits	4458
ID	3631
Downloaded	2076 time(s)
Uploaded by	pj
Folder	mmds-003
Num files	432 files [See full list]
Mirrors	16 complete, 0 downloading = 16 mirror(s) total [Log in to see full list]

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
Too many files! Click here to view them all.

Type: Course
Tags: Coursera, mmds

Bibtex:

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

Hosted by users:

10 day statistics (1 downloads)

Average Time	1 hrs, 17 mins, 55 secs
Average Speed	548.96kB/s
Best Time	1 hrs, 17 mins, 55 secs
Best Speed	548.96kB/s
Worst Time	1 hrs, 17 mins, 55 secs
Worst Speed	548.96kB/s

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

10 day statistics (1 downloads)

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