# Pen and Paper Exercises in Machine Learning

arXiv: https://arxiv.org/abs/2206.13446 · HTML: https://mlsanity.com/paper/2206.13446/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 12 references that are in the map.
- First posted on arXiv 27 Jun 2022.

## Abstract (arXiv)

This is a collection of (mostly) pen-and-paper exercises in machine learning. The exercises are on the following topics: linear algebra, optimisation, directed graphical models, undirected graphical models, expressive power of graphical models, factor graphs and message passing, inference for hidden Markov models, model-based learning (including ICA and unnormalised models), sampling and Monte-Carlo integration, and variational inference.