My Machine Learning Cook Book

Objective

This repository aims to compile a selection of the most important machine learning concepts.
The document regrouping this knowledge is not intended to be used to by-pass the reading of serious machine learning books.
This document should be used as a reminder for the reader to keep in mind the basic mathematical tools to understand and implement most machine learning algorithms.

Setup

A simple way to compile the latex file and render the pdf is to first install the latex pacakge:

sudo apt install texlive-latex-extra
sudo apt install texlive-science
sudo apt install python-pygments

And then run the following line:

pdflatex -shell-escape main.tex

If you find an empty table of content, rerun the previous line.

Document

A compiled pdf can be found at the root of the project if you just want to read the content without compiling it.

References

The content of this document is a simplification of various sections of these three book:

• Deep Learning, by A. Courville, Ian Goodfellow, and Yoshua Bengio, 2016.
• Machine Learning: a probabilistic perspective, by K.P. Murphy, 2012.
• The Elements of Statistical Learning, by T. Hastie, 2001.