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Mining Massive DataSets

Name

Mining Massive DataSets

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Total Size

666.0 MB

Total Files

87

Hash

0E9B7B7F73EE9069DA943434322D7BE032A44832

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2 - 1 - Distributed File Systems (15-50).mp4

28.9 MB

2 - 1 - Distributed File Systems (15-50).srt

24.8 KB

2 - 10 - Why Teleports Solve the Problem (12-26).mp4

19.6 MB

2 - 10 - Why Teleports Solve the Problem (12-26).srt

17.4 KB

2 - 11 - How we Really Compute PageRank (13-49).mp4

21.0 MB

2 - 11 - How we Really Compute PageRank (13-49).srt

20.6 KB

2 - 2 - The MapReduce Computational Model (22-04).mp4

37.4 MB

2 - 2 - The MapReduce Computational Model (22-04).srt

30.5 KB

2 - 3 - Scheduling and Data Flow (12-43).mp4

21.1 MB

2 - 3 - Scheduling and Data Flow (12-43).srt

17.5 KB

2 - 4 - Combiners and Partition Functions (12-17) [Advanced].mp4

20.0 MB

2 - 4 - Combiners and Partition Functions (12-17) [Advanced].srt

15.6 KB

2 - 5 - Link Analysis and PageRank (9-39).mp4

15.4 MB

2 - 5 - Link Analysis and PageRank (9-39).srt

15.6 KB

2 - 6 - PageRank- The Flow Formulation (9-16).mp4

14.5 MB

2 - 6 - PageRank- The Flow Formulation (9-16).srt

14.3 KB

2 - 7 - PageRank- The Matrix Formulation (8-02).mp4

13.2 MB

2 - 7 - PageRank- The Matrix Formulation (8-02).srt

11.6 KB

2 - 8 - PageRank- Power Iteration (10-34).mp4

17.0 MB

2 - 8 - PageRank- Power Iteration (10-34).srt

15.0 KB

2 - 9 - PageRank- The Google Formulation (12-08).mp4

19.3 MB

2 - 9 - PageRank- The Google Formulation (12-08).srt

17.9 KB

3 - 1 - Finding Similar Sets (13-37).mp4

21.2 MB

3 - 1 - Finding Similar Sets (13-37).srt

18.9 KB

3 - 10 - A-Priori Algorithm (13-07).mp4

22.7 MB

3 - 10 - A-Priori Algorithm (13-07).srt

17.3 KB

3 - 11 - Improvements to A-Priori (17-26) [Advanced].mp4

29.6 MB

3 - 11 - Improvements to A-Priori (17-26) [Advanced].srt

24.7 KB

3 - 12 - All or Most Frequent Itemsets in 2 Passes (14-40) [Advanced].mp4

23.6 MB

3 - 12 - All or Most Frequent Itemsets in 2 Passes (14-40) [Advanced].srt

21.2 KB

3 - 2 - Minhashing (25-18).mp4

43.3 MB

3 - 2 - Minhashing (25-18).srt

31.2 KB

3 - 3 - Locality-Sensitive Hashing (19-24).mp4

33.5 MB

3 - 3 - Locality-Sensitive Hashing (19-24).srt

25.7 KB

3 - 4 - Applications of LSH (11-40).mp4

19.8 MB

3 - 4 - Applications of LSH (11-40).srt

17.3 KB

3 - 5 - Fingerprint Matching (7-07).mp4

11.4 MB

3 - 5 - Fingerprint Matching (7-07).srt

9.9 KB

3 - 6 - Finding Duplicate News Articles (6-08).mp4

9.9 MB

3 - 6 - Finding Duplicate News Articles (6-08).srt

9.1 KB

3 - 7 - Distance Measures (22-39).mp4

36.2 MB

3 - 7 - Distance Measures (22-39).srt

31.0 KB

3 - 8 - Nearest Neighbor Learning (11-39).mp4

20.0 MB

3 - 8 - Nearest Neighbor Learning (11-39).srt

17.7 KB

3 - 9 - Frequent Itemsets (29-50).mp4

54.2 MB

3 - 9 - Frequent Itemsets (29-50).srt

38.8 KB

4 - 1 - Community Detection in Graphs- Motivation (5-44).mp4

8.9 MB

4 - 1 - Community Detection in Graphs- Motivation (5-44).srt

9.5 KB

4 - 2 - The Affiliation Graph Model (10-04).mp4

15.6 MB

4 - 2 - The Affiliation Graph Model (10-04).srt

16.5 KB

4 - 3 - From AGM to BIGCLAM (8-48).mp4

14.1 MB

4 - 3 - From AGM to BIGCLAM (8-48).srt

13.5 KB

4 - 4 - Solving the BIGCLAM (9-19).mp4

15.8 MB

4 - 4 - Solving the BIGCLAM (9-19).srt

14.2 KB

4 - 5 - Detecting Communities as Clusters (8-39) [Advanced].mp4

15.2 MB

4 - 5 - Detecting Communities as Clusters (8-39) [Advanced].srt

13.8 KB

4 - 6 - What Makes a Good Cluster- (8-48) [Advanced].mp4

14.3 MB

ITR-4_2016.zip

962.9 KB

MapReduce1_DistributedFileSystems.pdf

1.7 MB

MapReduce2_TheMapReduceComputationalModel.pdf

1.3 MB

MapReduce3_SchedulingAndDataFlow.pdf

844.7 KB

MapReduce4_CombinersAndPartitionFunctions.pdf

1.0 MB

week1_how_we_really_compute_pagerank.pdf

1.0 MB

week1_link_analysis_and_pagerank.pdf

1.7 MB

week1_pagerank_power_iteration.pdf

396.4 KB

week1_pagerank_the_flow_formulation.pdf

796.6 KB

week1_pagerank_the_google_formulation.pdf

912.4 KB

week1_pagerank_the_matrix_formulation.pdf

344.5 KB

week1_why_teleports_solve_the_problem.pdf

543.0 KB

week2_a-priori_algorithm.pdf

666.6 KB

week2_all_or_most_frequent_itemsets_in_2_passes.pdf

1.2 MB

week2_applications_of_LSH.pdf

789.6 KB

week2_distance_measures.pdf

1.7 MB

week2_finding_duplicate_news_articles.pdf

546.6 KB

week2_finding_similar_sets.pdf

574.4 KB

week2_fingerprint_matching.pdf

652.6 KB

week2_frequent_itemsets.pdf

1.4 MB

week2_improvements_to_a-priori.pdf

1.1 MB

week2_locality_sensitive_hashing.pdf

1.2 MB

week2_minhashing.pdf

984.0 KB

week2_nearest_neighbor_learning.pdf

853.2 KB

week3_community_detection_in_graphs.pdf

1.4 MB

week3_detecting_communities_as_clusters.pdf

1.2 MB

week3_from_AGM_to_BIGCLAM.pdf

599.8 KB

week3_solving_the_big_clam.pdf

386.7 KB

week3_the_affiliation_graph_model.pdf

1.4 MB

week3_what_makes a_good_cluster.pdf

449.1 KB

 

Total files 87


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