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Computer Scientists' Cheatsheet

This documentation is a public note of any topic regards computer science. May it be Machine Learning, Discrete Mathematics or Bayesian Data Analysis.

These docs are mainly maintained by Seyoung Park.

Online courses

Current


Contents

.. toctree::
   :maxdepth: 3

   subjects/ai/index
   subjects/bayesian/index
   subjects/calculus/index
   subjects/computer_graphics/index
   subjects/deep_learning/index
   subjects/info-viz/index
   subjects/linear_algebra/index
   subjects/machine_learning/index
   subjects/papers/papers
   subjects/prob_stat/index
   subjects/Python/index
   subjects/unix/index


Metadocs

These docs are open source: all content is licensed under CC-BY 4.0 and all examples under CC0 (public domain). Additionally, this is an open project and we strongly encourage anyone to :doc:`contribute <README>`. For information, see the :doc:`README` and the Github links at the top of every page.

.. toctree::
   :maxdepth: 1

   README