Machine Learning

Contents

Preface

Acknowledgments

Authors

Introduction

1  Introduction to Machine Learning

1.1  Introduction

1.2  Preliminaries

1.2.1  Machine Learning: Where Several Disciplines Meet

1.2.2  Supervised Learning

1.2.3  Unsupervised Learning

1.2.4  Semi-Supervised Learning

1.2.5  Reinforcement Learning

1.2.6  Validation and Evaluation

1.3  Applications of Machine Learning Algorithms

1.3.1  Automatic Recognition of Handwritten Postal Codes

1.3.2  Computer-Aided Diagnosis

1.3.3  Computer Vision

1.3.3.1  Driverless Cars

1.3.3.2  Face Recognition and Security

1.3.4  Speech Recognition

1.3.5  Text Mining

1.3.5.1  Where Text and Image Data Can Be Used Together

1.4  The Present and the Future

1.4.1  Thinking Machines

1.4.2  Smart Machines

1.4.3  Deep Blue ...