Real-World Machine Learning

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. The machine-learning workflow

Chapter 1. What is machine learning?

1.1. Understanding how machines learn

1.2. Using data to make decisions

1.2.1. Traditional approaches

1.2.2. The machine-learning approach

1.2.3. Five advantages to machine learning

1.2.4. Challenges

1.3. Following the ML workflow: from data to deployment

1.3.1. Data collection and preparation

1.3.2. Learning a model from data

1.3.3. Evaluating model performance

1.3.4. Optimizing model performance

1.4. Boosting model performance with advanced techniques

1.4.1. Data preprocessing and feature engineering ...