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

Info hash	91bc48e6c8341de198c970acccdc87199391ab46
Last mirror activity	4d,20:59:20 ago
Size	2.57GB (2,566,408,195 bytes)
Added	2017-03-05 01:25:22
Views	2459
Hits	5846
ID	3631
Type	multi
Downloaded	3400 time(s)
Uploaded by	pj
Folder	mmds-003
Num files	432 files [See full list]
Mirrors	12 complete, 0 downloading = 12 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
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Type: Course
Tags: Coursera, mmds

Bibtex:

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

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

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