A trilogy of ML textbooks, parked on GitHub

What it does The repository serves as a landing page for Kevin Murphy’s book series on probabilistic machine learning. It links to HTML editions of three volumes: the 2012 original Machine Learning: A Probabilistic Perspective, the 2022 introductory text, and the 2023 advanced follow-up. If you are looking for the books, this is the address; if you are looking for code, the README offers no hints.

The interesting bit It is a rare high-starred repo—over 5,600 stars—that functions almost entirely as a table of contents. The stars measure trust in the curriculum rather than the software, which is a refreshing anomaly on a platform built for code.

Key highlights

• Three linked volumes spanning introductory to advanced probabilistic ML
• Web-readable HTML editions accessible from the project’s site
• 5,600+ stars despite a README that is little more than headers and links
• Maintained by the author, so the links are definitive

Caveats

• The README is bare-bones; it does not advertise code samples, notebooks, or build instructions
• You will leave the repo immediately to read the actual books

Verdict Worth a bookmark if you are studying probabilistic ML and want authoritative, web-based textbooks. Skip it if you are hunting for a software library or runnable examples.