In this section, I will make you discover some contents (websites, youtube channel, books) I found usefull to learn Python, Data Sciences, A.I. or Programming in general.

*C.Dürr & J-J. Vie*

*S.J. Rojas G. & E.A. Christensen & F.J. Blanco-Silva*

**Numpy**'s library then to the use **Scipy** in connection with **Numpy**. This book presents severals functions to solve problems of *Linear Algebra* to *Machine Learning* through *Numerical Analysis* and *Signal Processing*. Being more oriented on the library presentation, I didn't read completely the book. It is especially a nice tool to keep on hand in case of problems.

*A. Géron*

*Machine Learning*. In part 1, you will get an explaination of how to handle a problem of either *Regression* or *Classification* before to presents you all models more in details, how to optimize them and how to reduce dimensions. In part 2, you gonna discover *Neural Networks* and *Deep Learning* based on the well-knows library **Tensorflow**. This book is really complete, without going too deep into calculation.

BONUS : all example have their own Jupyter Notebook with additionnal content to go further

*Stuart Russell & Peter Norvig*

*Richard S.Sutton & Andrew G. Barto*

*I. Goodfellow, Y. Bengio & A. Courville*

*Lê Nguyên Hoang*

+1 for the dynamism !

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