This repository contains educational exercises in machine learning with full solutions, covering topics including linear algebra, optimization, directed and undirected graphical models, factor graphs, message passing, hidden Markov models, independent component analysis, Monte Carlo sampling, and variational inference. The material is compiled from LaTeX source into a PDF published on arXiv and is designed for learning and teaching ML concepts through worked examples.