probml/pml-book resource

Health v2 · maintenance only

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5647 stars · 654 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A series of open textbooks by Kevin Murphy on probabilistic machine learning, including 'Machine Learning: A Probabilistic Perspective', 'Probabilistic Machine Learning: An Introduction', and 'Probabilistic Machine Learning: Advanced Topics'. The repository hosts drafts, figures, and Jupyter Notebook code accompanying the books.

Use cases

• learn probabilistic machine learning from a free textbook
• study machine learning theory with accompanying code examples
• find reference material for Bayesian and generative modeling topics
• use Jupyter notebooks to reproduce book figures and experiments
• prepare for graduate-level ML coursework or research

When to choose

• you want a comprehensive, freely available ML textbook with runnable code
• you prefer a probabilistic/Bayesian treatment of machine learning
• you need both introductory and advanced coverage in one series

When to avoid

• you need production ML tooling rather than educational material
• you want a hands-on engineering tutorial rather than a math-heavy book
• you need a short quick-start guide to a specific ML library

Facets

learning-resource · maturity active

machine-learning data-science developer-tools machine-learning artificial-intelligence tutorials education python cross-platform textbook probabilistic-machine-learning jupyter-notebooks kevin-murphy book-series

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For agents

markdown · JSON · MCP: product_card(name="probml/pml-book")