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.
My Machine Learning Cook Book can be found as a pdf file at the root of the project.
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.