Table of Contents

 

Copyright

Brief Table of Contents

Table of Contents

Foreword

Preface

Acknowledgments

About this book

About the authors

About the cover illustration

1. Foundations

Chapter 1. Toward deep learning: a machine-learning introduction

1.1. What is machine learning?

1.1.1. How does machine learning relate to AI?

1.1.2. What you can and can’t do with machine learning

1.2. Machine learning by example

1.2.1. Using machine learning in software applications

1.2.2. Supervised learning

1.2.3. Unsupervised learning

1.2.4. Reinforcement learning

1.3. Deep learning

1.4. What you’ll learn in this book

1.5. Summary

Chapter 2. Go as a machine-learning problem

2.1. Why games?

2.2. A lightning introduction to the game of Go

2.2.1. Understanding the board

2.2.2. Placing and capturing stones

2.2.3. Ending the game and counting

2.2.4. Understanding ko

2.3. Handicaps

2.4. Where to learn more

2.5. What can we teach a machine?

2.5.1. Selecting moves in the opening