Posted on May 5, 2011

Machine Learning cheat sheet

For a recently taken course in Machine Learning, a substantial part involved learning and applying linear classifiers and clustering algorithms on smaller data sets. In order to summarise the most important material, I created a cheat sheet in LaTeX. I figured someone else might appreciate it as well, so why not make it available for more people than myself?

cheat sheet preview

.pdf can be downloaded here.
.tex-file is on Github here; feel free to modify or add information. Please let me know if you find mistakes!

Note that his document was really only created for my own study purposes, and hence might be of limited use for others. Hopefully not, though.

EDIT: Discussion on Hacker News:


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