Probabilistic Machine Learning: An Introduction (Murphy)

me@ryanorban.com (Ryan Orban) — Fri, 01 Jan 2021 00:00:00 +0000

Summary

Probabilistic Machine Learning: An Introduction by Kevin Murphy is the modern successor to his 2012 book Machine Learning: A Probabilistic Perspective, updated to cover contemporary deep learning alongside classical Bayesian methods. The book is free online and covers the full ML landscape through a unified probabilistic lens: everything from linear regression and Naive Bayes through neural networks, VAEs, and normalizing flows is treated as a form of probabilistic inference or density estimation.

Probabilistic-Ml on Ryan Orban

Probabilistic Machine Learning: An Introduction (Murphy)

Summary