From Linear Algebra to Machine Learning

Here, I want to study the relevance of linear algebra in the implementation of machine learning algorithms. I believe that the best way to understand machine learning algorithms is implementing them from scratch, so, in this material, I want to review also vectorization.

I will be updating and improving these notes from time to time, adding theoretical concepts and their corresponding implementation and visualization. I will be using Python, Numpy, and Tensorflow, and later, maybe R.

Presentations

I did present a very basic material in the conferences:

• EuroPython 2018
• FrOSCon 2018 Video