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

~Get Your Files Here !/28-Part 2 Recommendations.mp4

~Get Your Files Here !/36-Chapter 5 Collaborative filtering.mp4

~Get Your Files Here !/76-Chapter 12 Knowledge graph building - Entities.mp4

~Get Your Files Here !/37-Chapter 5 Collaborative filtering recommendations.mp4

~Get Your Files Here !/48-Chapter 7 Providing recommendations.mp4

~Get Your Files Here !/49-Chapter 7 Providing recommendations.mp4

~Get Your Files Here !/61-Chapter 9 Identifying fraudulent transactions.mp4

~Get Your Files Here !/09-Chapter 2 Graph data engineering.mp4

~Get Your Files Here !/44-Chapter 6 Providing recommendations.mp4

~Get Your Files Here !/73-Chapter 11 NLP and graphs.mp4

~Get Your Files Here !/16-Chapter 2 Native vs. non-native graph databases.mp4

~Get Your Files Here !/63-Chapter 10 Social network analysis against fraud.mp4

~Get Your Files Here !/19-Chapter 3 Managing data sources.mp4

~Get Your Files Here !/13-Chapter 2 Graphs are valuable for master data management.mp4

~Get Your Files Here !/08-Chapter 1 The role of graphs in machine learning.mp4

~Get Your Files Here !/35-Chapter 4 Providing recommendations.mp4

~Get Your Files Here !/07-Chapter 1 Graphs as models of networks.mp4

~Get Your Files Here !/15-Chapter 2 Sharding.mp4

~Get Your Files Here !/74-Chapter 11 NLP and graphs.mp4

~Get Your Files Here !/02-Chapter 1 Machine learning and graphs - An introduction.mp4

~Get Your Files Here !/38-Chapter 5 Computing the nearest neighbor network.mp4

~Get Your Files Here !/58-Chapter 9 Proximity-based algorithms.mp4

~Get Your Files Here !/77-Chapter 12 Knowledge graph building - Relationships.mp4

~Get Your Files Here !/43-Chapter 6 The events chain and the session graph.mp4

~Get Your Files Here !/46-Chapter 7 Context-aware and hybrid recommendations.mp4

~Get Your Files Here !/29-Chapter 4 Content-based recommendations.mp4

~Get Your Files Here !/34-Chapter 4 Providing recommendations.mp4

~Get Your Files Here !/18-Chapter 3 Graphs in machine learning applications.mp4

~Get Your Files Here !/69-Chapter 10 Cluster-based methods.mp4

~Get Your Files Here !/82-Appendix A. Machine learning algorithms taxonomy.mp4

~Get Your Files Here !/45-Chapter 6 Session-based k-NN.mp4

~Get Your Files Here !/21-Chapter 3 Recommend items.mp4

~Get Your Files Here !/30-Chapter 4 Representing item features.mp4

~Get Your Files Here !/42-Chapter 6 Session-based recommendations.mp4

~Get Your Files Here !/67-Chapter 10 Centrality metrics.mp4

~Get Your Files Here !/31-Chapter 4 Representing item features.mp4

~Get Your Files Here !/75-Chapter 12 Knowledge graphs.mp4

~Get Your Files Here !/71-Chapter 11 Graph-based natural language processing.mp4

~Get Your Files Here !/33-Chapter 4 Providing recommendations.mp4

~Get Your Files Here !/25-Chapter 3 Monitoring a subject.mp4

~Get Your Files Here !/56-Chapter 8 Warm-up - Basic approaches.mp4

~Get Your Files Here !/40-Chapter 5 Providing recommendations.mp4

~Get Your Files Here !/23-Chapter 3 Find keywords in a document.mp4

~Get Your Files Here !/72-Chapter 11 A basic approach - Store and access sequence of words.mp4

~Get Your Files Here !/05-Chapter 1 Performance.mp4

~Get Your Files Here !/79-Chapter 12 Unsupervised keyword extraction.mp4

~Get Your Files Here !/27-Chapter 3 Leftover - Deep learning and graph neural networks.mp4

~Get Your Files Here !/20-Chapter 3 Detect a fraud.mp4

~Get Your Files Here !/14-Chapter 2 Graph databases.mp4

~Get Your Files Here !/60-Chapter 9 Creating the k-nearest neighbors graph.mp4