michaelgutmann/ml-pen-and-paper-exercises resource

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2691 stars · 235 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of pen-and-paper exercises in machine learning with detailed solutions, covering linear algebra, optimisation, graphical models, inference, and Monte Carlo methods. The source is written in LaTeX and compiles to a PDF book also available on arXiv.

Use cases

• practice machine learning math exercises with solutions
• study graphical models and variational inference problems
• find pen-and-paper exercises for a probabilistic modelling course
• learn linear algebra and optimisation for ML
• get worked solutions for hidden Markov model inference
• supplement self-study of machine learning theory

When to choose

• you want theory-focused, math-heavy practice rather than coding exercises
• you need exercises with detailed worked solutions
• you are teaching or self-studying probabilistic machine learning

When to avoid

• you want hands-on programming or implementation exercises
• you need deep learning or neural network practice problems
• you need a maintained software library rather than a document

Facets

learning-resource · maturity maintenance

documentation machine-learning mathematics tutorials cli exercises solutions latex probabilistic-modelling graphical-models variational-inference linear-algebra optimisation education linux

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