Table of Contents

Series Foreword vii
Preface ix
1 Why We Are Interested in Machine Learning 1
2 Machine Learning, Statistics, and Data Analytics 35
3 Pattern Recognition 71
4 Neural Networks and Deep Learning 105
5 Learning Clusters and Recommendations 143
6 Learning to Take Action 159
7 Challenges and Risks 183
8 Where Do We Go from Here? 201
Glossary 227
Notes 239
References 243
Further Reading 247
Index 249

About the Author

Ethem Alpaydin is Professor in the Department of Computer Engineering at zyegin University and a member of the Science Academy, Istanbul. He is the author of the widely used textbook, Introduction to Machine Learning (MIT Press), now in its fourth edition.