This repository contains three volumes of a book series covering machine learning from a probabilistic perspective. Book 0 covers foundational ML concepts, Book 1 provides an introduction to probabilistic ML, and Book 2 explores advanced topics. The material includes code examples implemented in Jupyter Notebooks to demonstrate the concepts discussed.