
Real-World Machine Learning
Description
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- Predicting future behavior
- Performance evaluation and optimization
- Analyzing sentiment and making recommendations
- What is machine learning?
- Real-world data
- Modeling and prediction
- Model evaluation and optimization
- Basic feature engineering
- Example: NYC taxi data
- Advanced feature engineering
- Advanced NLP example: movie review sentiment
- Scaling machine-learning workflows
- Example: digital display advertising
More details
Other editions
Additional editions

Persons
Joseph Richards is a senior data scientist with expertise in applied statistics and predictive analytics. Henrik and Joseph are co-founders of wise.io, a leading developer of machine learning solutions for industry.
Mark Fetherolf is founder and President of data management and predictive analytics company, Numinary Data Science. He has worked as a statistician and analytics database developer in social science research, chemical engineering, information systems performance, capacity planning, cable television, and online advertising applications.
Content
- Intro
- Copyright
- Brief Table of Contents
- Table of Contents
- Foreword
- Preface
- Acknowledgments
- About this Book
- About the Authors
- About the Cover Illustration
- Part 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
- Part 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
- Appendix. Popular machine-learning algorithms
- Index
- List of Figures
- List of Tables
- List of Listings
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