Machine Learning, Revised and Updated Edition

ISBN-13: 9780262542524 / Angielski / Miękka / 2021 / 280 str.

Ethem Alpaydin

Spis treści

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

O autorze

Ethem Alpaydín is Professor in the Department of Computer Engineering at Özyegin 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.