Patterns, Predictions, and Actions

A story about machine learning

Moritz Hardt and Benjamin Recht

Full book as PDF

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},
}
Last updated: Tue 19 Oct 2021 10:52:27 AM PDT