Other

Graph-Powered Machine Learning, Video Edition

  • Download torrent
  • Rate this torrent +  |  -

Torrent info

Name:Graph-Powered Machine Learning, Video Edition

Infohash: 13437B45D502B5CB1006E1984FBA94B00CFDC8F0

Total Size: 4.87 GB

Seeds: 1

Leechers: 1

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2025-10-11 19:10:43 (Update Now)

Torrent added: 2022-04-17 09:00:05






Torrent Files List


[TutsNode.com] - Graph-Powered Machine Learning, Video Edition (Size: 4.87 GB) (Files: 171)

 [TutsNode.com] - Graph-Powered Machine Learning, Video Edition

  28-Part 2 Recommendations.mp4

148.91 MB

  36-Chapter 5 Collaborative filtering.mp4

98.97 MB

  76-Chapter 12 Knowledge graph building - Entities.mp4

94.08 MB

  37-Chapter 5 Collaborative filtering recommendations.mp4

92.75 MB

  48-Chapter 7 Providing recommendations.mp4

85.94 MB

  49-Chapter 7 Providing recommendations.mp4

85.12 MB

  61-Chapter 9 Identifying fraudulent transactions.mp4

82.58 MB

  09-Chapter 2 Graph data engineering.mp4

82.01 MB

  44-Chapter 6 Providing recommendations.mp4

81.30 MB

  73-Chapter 11 NLP and graphs.mp4

80.48 MB

  16-Chapter 2 Native vs. non-native graph databases.mp4

79.92 MB

  63-Chapter 10 Social network analysis against fraud.mp4

79.64 MB

  19-Chapter 3 Managing data sources.mp4

77.36 MB

  13-Chapter 2 Graphs are valuable for master data management.mp4

75.67 MB

  08-Chapter 1 The role of graphs in machine learning.mp4

73.83 MB

  35-Chapter 4 Providing recommendations.mp4

72.60 MB

  07-Chapter 1 Graphs as models of networks.mp4

71.29 MB

  15-Chapter 2 Sharding.mp4

70.52 MB

  74-Chapter 11 NLP and graphs.mp4

70.02 MB

  02-Chapter 1 Machine learning and graphs - An introduction.mp4

69.70 MB

  38-Chapter 5 Computing the nearest neighbor network.mp4

69.04 MB

  58-Chapter 9 Proximity-based algorithms.mp4

68.99 MB

  77-Chapter 12 Knowledge graph building - Relationships.mp4

68.65 MB

  43-Chapter 6 The events chain and the session graph.mp4

68.35 MB

  46-Chapter 7 Context-aware and hybrid recommendations.mp4

67.60 MB

  29-Chapter 4 Content-based recommendations.mp4

67.48 MB

  34-Chapter 4 Providing recommendations.mp4

66.34 MB

  18-Chapter 3 Graphs in machine learning applications.mp4

65.87 MB

  69-Chapter 10 Cluster-based methods.mp4

65.65 MB

  82-Appendix A. Machine learning algorithms taxonomy.mp4

65.16 MB

  45-Chapter 6 Session-based k-NN.mp4

63.60 MB

  21-Chapter 3 Recommend items.mp4

63.56 MB

  30-Chapter 4 Representing item features.mp4

63.39 MB

  42-Chapter 6 Session-based recommendations.mp4

61.79 MB

  67-Chapter 10 Centrality metrics.mp4

61.27 MB

  31-Chapter 4 Representing item features.mp4

60.23 MB

  75-Chapter 12 Knowledge graphs.mp4

60.09 MB

  71-Chapter 11 Graph-based natural language processing.mp4

57.65 MB

  33-Chapter 4 Providing recommendations.mp4

56.79 MB

  25-Chapter 3 Monitoring a subject.mp4

55.54 MB

  56-Chapter 8 Warm-up - Basic approaches.mp4

55.49 MB

  40-Chapter 5 Providing recommendations.mp4

53.76 MB

  23-Chapter 3 Find keywords in a document.mp4

53.60 MB

  72-Chapter 11 A basic approach - Store and access sequence of words.mp4

53.54 MB

  05-Chapter 1 Performance.mp4

53.14 MB

  79-Chapter 12 Unsupervised keyword extraction.mp4

52.87 MB

  27-Chapter 3 Leftover - Deep learning and graph neural networks.mp4

52.78 MB

  20-Chapter 3 Detect a fraud.mp4

52.33 MB

  14-Chapter 2 Graph databases.mp4

52.12 MB

  60-Chapter 9 Creating the k-nearest neighbors graph.mp4

52.11 MB

  50-Chapter 7 Advantages of the graph approach.mp4

51.81 MB

  10-Chapter 2 Velocity.mp4

50.81 MB

  68-Chapter 10 Collective inference algorithms.mp4

50.60 MB

  81-Chapter 12 Keyword co-occurrence graph.mp4

50.57 MB

  84-Appendix C Graphs for defining complex processing workflows.mp4

50.43 MB

  59-Chapter 9 Distance-based approach.mp4

49.88 MB

  04-Chapter 1 Machine learning challenges.mp4

49.84 MB

  11-Chapter 2 Graphs in the big data platform.mp4

49.38 MB

  53-Chapter 8 Basic approaches to graph-powered fraud detection.mp4

48.49 MB

  22-Chapter 3 Algorithms.mp4

48.19 MB

  39-Chapter 5 Computing the nearest neighbor network.mp4

47.87 MB

  55-Chapter 8 The role of graphs in fighting fraud.mp4

47.11 MB

  57-Chapter 8 Identifying a fraud ring.mp4

46.91 MB

  64-Chapter 10 Social network analysis concepts.mp4

46.44 MB

  66-Chapter 10 Neighborhood metrics.mp4

45.87 MB

  54-Chapter 8 Fraud prevention and detection.mp4

45.24 MB

  83-Appendix C Graphs for processing patterns and workflows.mp4

43.83 MB

  12-Chapter 2 Graphs are valuable for big data.mp4

43.18 MB

  47-Chapter 7 Representing contextual information.mp4

42.88 MB

  85-Appendix D. Representing graphs.mp4

40.52 MB

  41-Chapter 5 Dealing with the cold-start problem.mp4

40.18 MB

  03-Chapter 1 Business understanding.mp4

39.10 MB

  51-Chapter 7 Providing recommendations.mp4

38.56 MB

  78-Chapter 12 Semantic networks.mp4

38.36 MB

  26-Chapter 3 Visualization.mp4

37.90 MB

  17-Chapter 2 Label property graphs.mp4

37.69 MB

  80-Chapter 12 Unsupervised keyword extraction.mp4

35.89 MB

  52-Part 3 Fighting fraud.mp4

34.38 MB

  32-Chapter 4 User modeling.mp4

33.57 MB

  06-Chapter 1 Graphs.mp4

33.32 MB

  62-Chapter 9 Identifying fraudulent transactions.mp4

32.51 MB

  65-Chapter 10 Score-based methods.mp4

32.24 MB

  24-Chapter 3 Storing and accessing machine learning models.mp4

31.38 MB

  70-Part 4 Taming text with graphs.mp4

24.45 MB

  01-Part 1 Introduction.mp4

21.31 MB

 TutsNode.com.txt

0.06 KB

 [TGx]Downloaded from torrentgalaxy.to .txt

0.57 KB

 .pad

  0

94.66 KB

  1

35.06 KB

  2

938.57 KB

  3

259.17 KB

  4

66.10 KB

  5

896.77 KB

  6

427.27 KB

  7

0.99 MB

  8

714.25 KB

  9

529.07 KB

  10

77.31 KB

  11

366.98 KB

  12

657.48 KB

  13

338.18 KB

  14

177.73 KB

  15

408.88 KB

  16

723.06 KB

  17

490.25 KB

  18

0.98 MB

  19

309.61 KB

  20

978.03 KB

  21

13.05 KB

  22

360.68 KB

  23

669.92 KB

  24

411.05 KB

  25

532.97 KB

  26

674.85 KB

  27

131.10 KB

  28

356.11 KB

  29

864.74 KB

  30

408.84 KB

  31

452.06 KB

  32

628.45 KB

  33

215.13 KB

  34

744.89 KB

  35

787.23 KB

  36

928.38 KB

  37

357.15 KB

  38

214.78 KB

  39

470.62 KB

  40

522.43 KB

  41

249.87 KB

  42

410.07 KB

  43

475.41 KB

  44

876.35 KB

  45

132.76 KB

  46

225.45 KB

  47

685.92 KB

  48

896.13 KB

  49

907.85 KB

  50

193.11 KB

  51

193.74 KB

  52

412.63 KB

  53

444.28 KB

  54

582.00 KB

  55

121.27 KB

  56

165.26 KB

  57

633.81 KB

  58

525.13 KB

  59

832.93 KB

  60

129.59 KB

  61

913.57 KB

  62

93.35 KB

  63

572.87 KB

  64

131.36 KB

  65

777.21 KB

  66

169.74 KB

  67

835.59 KB

  68

122.61 KB

  69

495.97 KB

  70

834.56 KB

  71

921.52 KB

  72

450.33 KB

  73

652.23 KB

  74

100.06 KB

  75

317.31 KB

  76

113.03 KB

  77

630.46 KB

  78

438.75 KB

  79

700.45 KB

  80

503.42 KB

  81

777.29 KB

  82

637.37 KB

  83

561.17 KB
 

tracker

leech seeds
 

Torrent description

Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch Graph-Powered Machine Learning, Video Edition Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.

related torrents

Torrent name

health leech seeds Size
 


comments (0)

Main Menu