kingers Posted April 13 Report Share Posted April 13 Download Free Download : Graph Algorithms for Data Science, Video Editionmp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz Genre:eLearning | Language: English | Size:1.52 GBFiles Included :001 Part 1 Introduction to graphs.mp4 (7.55 MB)MP4002 Chapter 1 Graphs and network science An introduction.mp4 (37.32 MB)MP4003 Chapter 1 How to spot a graph-shaped problem.mp4 (20.17 MB)MP4004 Chapter 1 Summary.mp4 (5.6 MB)MP4005 Chapter 2 Representing network structure Designing your first graph model.mp4 (37.87 MB)MP4006 Chapter 2 Network representations.mp4 (19.41 MB)MP4007 Chapter 2 Designing your first labeled-property graph model.mp4 (55.91 MB)MP4008 Chapter 2 Extracting knowledge from text.mp4 (42.39 MB)MP4009 Chapter 2 Summary.mp4 (7.01 MB)MP4010 Part 2 Network analysis.mp4 (5.57 MB)MP4011 Chapter 3 Your first steps with Cypher query language.mp4 (96.99 MB)MP4012 Chapter 3 Importing CSV files with Cypher.mp4 (54.51 MB)MP4013 Chapter 3 Solutions to exercises.mp4 (4.81 MB)MP4014 Chapter 3 Summary.mp4 (7.62 MB)MP4015 Chapter 4 Exploratory graph analysis.mp4 (11.86 MB)MP4016 Chapter 4 Aggregating data with Cypher query language.mp4 (37.08 MB)MP4017 Chapter 4 Filtering graph patterns.mp4 (24.34 MB)MP4018 Chapter 4 Counting subqueries.mp4 (5.2 MB)MP4019 Chapter 4 Multiple aggregations in sequence.mp4 (12.83 MB)MP4020 Chapter 4 Solutions to exercises.mp4 (4.62 MB)MP4021 Chapter 4 Summary.mp4 (5.21 MB)MP4022 Chapter 5 Introduction to social network analysis.mp4 (57.01 MB)MP4023 Chapter 5 Introduction to the Neo4j Graph Data Science library.mp4 (15.8 MB)MP4024 Chapter 5 Network characterization.mp4 (56.47 MB)MP4025 Chapter 5 Identifying central nodes.mp4 (37.46 MB)MP4026 Chapter 5 Solutions to exercises.mp4 (3.27 MB)MP4027 Chapter 5 Summary.mp4 (8.98 MB)MP4028 Chapter 6 Projecting monopartite networks.mp4 (53.56 MB)MP4029 Chapter 6 Retweet network characterization.mp4 (28.37 MB)MP4030 Chapter 6 Identifying the most influential content creators.mp4 (13.52 MB)MP4031 Chapter 6 Solutions to exercises.mp4 (2.96 MB)MP4032 Chapter 6 Summary.mp4 (5.94 MB)MP4033 Chapter 7 Inferring co-occurrence networks based on bipartite networks.mp4 (71.34 MB)MP4034 Chapter 7 Constructing the co-occurrence network.mp4 (56.77 MB)MP4035 Chapter 7 Characterization of the co-occurrence network.mp4 (11.29 MB)MP4036 Chapter 7 Community detection with the label propagation algorithm.mp4 (15.33 MB)MP4037 Chapter 7 Identifying community representatives with PageRank.mp4 (15.38 MB)MP4038 Chapter 7 Solutions to exercises.mp4 (2.09 MB)MP4039 Chapter 7 Summary.mp4 (8.48 MB)MP4040 Chapter 8 Constructing a nearest neighbor similarity network.mp4 (62.76 MB)MP4041 Chapter 8 Constructing the nearest neighbor graph.mp4 (19.95 MB)MP4042 Chapter 8 User segmentation with the community detection algorithm.mp4 (10.24 MB)MP4043 Chapter 8 Solutions to exercises.mp4 (3.34 MB)MP4044 Chapter 8 Summary.mp4 (5.28 MB)MP4045 Part 3 Graph machine learning.mp4 (6.7 MB)MP4046 Chapter 9 Node embeddings and classification.mp4 (33.87 MB)MP4047 Chapter 9 Node classification task.mp4 (27.75 MB)MP4048 Chapter 9 The node2vec algorithm.mp4 (60.81 MB)MP4049 Chapter 9 Solutions to exercises.mp4 (416.48 KB)MP4050 Chapter 9 Summary.mp4 (4.88 MB)MP4051 Chapter 10 Link prediction.mp4 (34.42 MB)MP4052 Chapter 10 Dataset split.mp4 (46.12 MB)MP4053 Chapter 10 Network feature engineering.mp4 (43.15 MB)MP4054 Chapter 10 Link prediction classification model.mp4 (20.6 MB)MP4055 Chapter 10 Solutions to exercises.mp4 (2.09 MB)MP4056 Chapter 10 Summary.mp4 (10.16 MB)MP4057 Chapter 11 Knowledge graph completion.mp4 (37.59 MB)MP4058 Chapter 11 Knowledge graph completion.mp4 (40.53 MB)MP4059 Chapter 11 Solutions to exercises.mp4 (1.09 MB)MP4060 Chapter 11 Summary.mp4 (5.93 MB)MP4061 Chapter 12 Constructing a graph using natural language processing techniques.mp4 (25.62 MB)MP4062 Chapter 12 Named entity recognition.mp4 (8.76 MB)MP4063 Chapter 12 Relation extraction.mp4 (5.54 MB)MP4064 Chapter 12 Implementation of information extraction pipeline.mp4 (37.54 MB)MP4065 Chapter 12 Solutions to exercises.mp4 (1.64 MB)MP4066 Chapter 12 Summary.mp4 (5.3 MB)MP4067 Appendix The Neo4j environment.mp4 (12.61 MB)MP4068 Appendix Neo4j installation.mp4 (8.73 MB)MP4069 Appendix Neo4j Browser configuration.mp4 (1004.9 KB)MP4 https://voltupload.com/w4rt0l0zbunz/Graph_Algorithms_for_Data_Science_Video_Edition.z01https://voltupload.com/y4dbikchqtve/Graph_Algorithms_for_Data_Science_Video_Edition.zip https://rapidgator.net/file/0d85fb669c51a9196f1c0c06ba974c82/Graph_Algorithms_for_Data_Science_Video_Edition.z01https://rapidgator.net/file/fed2e03909107dcad8c2e27d02582a6c/Graph_Algorithms_for_Data_Science_Video_Edition.zip Free search engine download: Graph Algorithms for Data Science, Video Edition Link to comment Share on other sites More sharing options...
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