Probabilistic Machine Learning: An Introduction
Probability-based machine learning textbook with a free draft PDF
Ranked 2 of 10 in best AI and machine learning books
A broad, current treatment of machine learning as probabilistic modeling, with a free draft PDF. It is more mathematical than the practical texts here and newer than Bishop's 2006 book.
Best for Probabilistic modeling and Bayesian methods
About Probabilistic Machine Learning: An Introduction
The book covers supervised and unsupervised learning, state-space models and deep learning under one probabilistic framework. Each model uses the same notation for inference and uncertainty, which makes the methods easier to compare. The site links a short and a long table of contents and a diff against the author's 2012 book.
The draft PDF is free to download, and the author asks readers to report errors through the site. Colab notebooks reproduce most figures, which helps readers who want to test the methods. The text assumes calculus, linear algebra and some probability, so it suits advanced undergraduates and graduate students more than readers new to mathematics.
Key features
- Probabilistic framing throughout
- Figure code in Colab notebooks
- Free draft PDF
- Short and long table of contents
Strengths
- Free draft PDF and reproducible figure code
- One probabilistic framework for many models
- Published in 2022, after the author's 2012 text
Limits
- Long and mathematical for self-study
- Free draft carries a non-commercial, no-derivatives license
Where Probabilistic Machine Learning: An Introduction ranks
| List | Rank | Score | Best for |
|---|---|---|---|
| Best AI and machine learning books | 2 of 10 | 92.5 | Probabilistic modeling and Bayesian methods |
Alternatives to Probabilistic Machine Learning: An Introduction
All 9 alternatives- Deep LearningGraduate-level textbook on deep learning from MIT Press, free online
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Compare Probabilistic Machine Learning: An Introduction
- Deep Learning vs Probabilistic Machine Learning: An Introduction
- Dive into Deep Learning vs Probabilistic Machine Learning: An Introduction
- An Introduction to Statistical Learning (Python edition) vs Probabilistic Machine Learning: An Introduction
- Deep Learning with Python, Third Edition vs Probabilistic Machine Learning: An Introduction
- Mathematics for Machine Learning vs Probabilistic Machine Learning: An Introduction
Questions about Probabilistic Machine Learning: An Introduction
- Is Probabilistic Machine Learning: An Introduction free?
- Probabilistic Machine Learning: An Introduction can be used without paying: Free draft PDF; hardcopy sold by MIT Press. Check the vendor’s pricing page for current limits.
- Which formats is Probabilistic Machine Learning: An Introduction available in?
- Probabilistic Machine Learning: An Introduction is offered as PDF, Print.
- What is Probabilistic Machine Learning: An Introduction best for?
- Probabilistic modeling and Bayesian methods. In our ranking of AI and machine learning books it is number 2 of 10 with a score of 92.5.
- What are the best alternatives to Probabilistic Machine Learning: An Introduction?
- The highest-ranked alternatives on listme.name are Deep Learning, Dive into Deep Learning, An Introduction to Statistical Learning (Python edition), Deep Learning with Python, Third Edition.