contents

 

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