ml-pen-and-paper-exercises
Discover a wide array of machine learning exercises focusing on linear algebra, graphical models, and inference methods, each complemented by detailed solutions. The topics include optimisation, factor graphs, hidden Markov models, and variational inference. Accessible as a compiled PDF on arXiv, this collection welcomes community input for enhancement. Perfect for enthusiasts of model-based learning and Monte-Carlo integration, offering in-depth comprehension through a pen-and-paper approach.
