Shypd.aiThe largest open index of AI toolsml-pen-and-paper-exercises is an open-source collection of machine learning exercises with detailed solutions. It covers topics like linear algebra, optimization, and graphical models, providing a valuable resource for students and researchers.
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ml-pen-and-paper-exercises is a comprehensive, open-source collection of pen-and-paper exercises designed to deepen understanding in machine learning. Each exercise is accompanied by a detailed solution, making it an excellent resource for self-study or as supplementary material for courses. The collection covers a wide array of topics, including linear algebra, optimization, directed and 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. The exercises are compiled into a PDF available on arXiv, and the project is licensed under a Creative Commons Attribution 4.0 International License.
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