Resources

Resources Page:

This page contains info about valuable resources that are available for free to help us learn Machine Learning and Data Science in general.

Machine Learning Resources:

Math Behind Machine Learning :

* [Mathematics for Machine Learning](https://github.com/mml-book/mml-book.github.io/tree/master/book). 
* [MIT Lecture Notes](https://ocw.mit.edu/courses/mathematics/18-657-mathematics-of-machine-learning-fall-2015/lecture-notes/).
* [Maths for ML: G. Thomas; UC Berkeley](https://gwthomas.github.io/docs/math4ml.pdf). 

Deep Learning Notes/Books :

* [Stanford Lecture Notes](http://cs229.stanford.edu/notes/). 
* [Neural Net and Deep Learning: M. Nielsen](http://neuralnetworksanddeeplearning.com/). 
* [Deep Unsupervised Learning Note: Berkeley](https://sites.google.com/view/berkeley-cs294-158-sp19/home). 
* [Deep Learning Book: I. Goodfellow, Y. Bengio](https://www.deeplearningbook.org/)