Chapters in this book

1. Frontmatter i
2. CONTENTS vii
3. Acknowledgments ix
4. Introduction 1
5. 1 Tools of the Trade 8
6. 2 The Data Science Project 32
7. 3 Data Science Foundations 54
8. 4 Making Decisions with Data 89
9. 5 Clustering, Segmenting, and Cutting Through the Noise 117
10. 6 Building Your First Model 134
11. 7 Tools for Machine Learning 161
12. 8 Pulling It Together 179
13. 9 Ethics 209
14. Conclusion 229
15. Notes 235
16. Index 255