Nowadays the number of free resources available on Internet is overwhelming.
There are many more free books than one can read.
Therefore, I created a short list consisting of the most valuable publications by my reckoning.
An Introduction to Statistical Learning with Applications in R
This book is unquestionable classic on the subject of machine learning.
It begins with linear regression and statistics, then moves on to more advanced linear models.
It also covers the topic of SVM, PCA and clustering.
You can find it on this site.
Neural Networks and Deep Learning
It's not a conventional book, because it's in the form of fully responsive website.
It covers the topic of neural networks and deep learning in an unconventional manner.
The book explains a lot of mathematical concepts connected with the topic of artificial neural network in easy way.
The author created a lot of interesting interactive examples in javascript. Michael Nielsen did a great job, providing this publication with lots of exercises and problems.
You can read it here.
R Notes for Professionals
This is great book for learning R for somebody who is familiar with programming.
The book doesn't have exercises for the reader, but uses a lot of examples.
It's not for somebody, who isn't familiar with programming.
Here's the download page.
Python Notes for Professionals
It's mostly the same as the previous book, but I thought that it deserves separate paragraph. You can download it here.
Don't forget to check out the rest of the books in the whole series.
Dive into Python 3
As far as I'm concerned this is the best book to begin adventure with Python.
This book is easy to read and full of examples.
It provides the reader with all the crucial knowledge, byt doesn't overload him with too much information.
Get it here.
And what are your favorite resources?
Share them in the comments.
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