Real-World Machine Learning
Henrik Brink Joseph W. Richards Mark Fetherolf

Brief 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?
Chapter 2. Real-world data
Chapter 3. Modeling and prediction
Chapter 4. Model evaluation and optimization
Chapter 5. Basic feature engineering
2. Practical application
Chapter 6. Example: NYC taxi data
Chapter 7. Advanced feature engineering
Chapter 8. Advanced NLP example: movie review sentiment
Chapter 9. Scaling machine-learning workflows
Chapter 10. Example: digital display advertising
Popular machine-learning algorithms
Index
List of Figures
List of Tables
List of Listings