Table of contents

Preface
Acknowledgments

1. Introduction (PDF)
2. Fundamentals of prediction (PDF)
3. Supervised learning (PDF)
4. Representations and features (PDF)
5. Optimization (PDF)
6. Generalization (PDF)
7. Deep learning (PDF)
8. Datasets (PDF)
9. Causality (PDF)
10. Causal inference in practice (PDF)
11. Sequential decision making and dynamic programming (PDF)
12. Reinforcement learning (PDF)
13. Epilogue (PDF)
14. Mathematical background (PDF)

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Citations, license, typesetting

Please cite this book as:

@book{hardtrecht,
  author = {Moritz Hardt and Benjamin Recht},
  title = {Patterns, predictions, and actions: A story about machine learning},
  year = {2021},
  publisher = {\url{https://mlstory.org}},
  archivePrefix = {arXiv},
  eprint = {2102.05242},
  primaryClass = {cs.LG},
}

• We maintain an archival version of the book at arXiv:2102.05242. The latest changes are always available on this page.

• The material available on this website is licensed under the Creative Commons BY-NC-ND 4.0 license.

• This book is typeset using pandoc with the unbuch setup.