foreword
preface
acknowledgments
about this book
about the author
about the cover illustration
Part 1 Introduction
1 Machine learning and graphs: An introduction
1.1 Machine learning project life cycle
Business understanding
Data understanding
Data preparation
Modeling
Evaluation
Deployment
1.2 Machine learning challenges
The source of truth
Performance
Storing the model
Real time
1.3 Graphs
What is a graph?
Graphs as models of networks
1.4 The role of graphs in machine learning
Data management
Data analysis
Data visualization
1.5 Book mental model
Volume