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https://github.com/manelli/ml

Machine learning resources
https://github.com/manelli/ml

data-science deep-learning machine-learning statistics

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Machine learning resources

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# Machine Learning Courses

## [Statistical Learning (Lagunita)](https://lagunita.stanford.edu/courses/HumanitiesSciences/StatLearning/Winter2016/info)
### Materials
- [An Introduction to Statistical Learning book](http://www-bcf.usc.edu/~gareth/ISL/)
- [Videos](https://www.youtube.com/playlist?list=PLgxu-AAi2lTbtF6MyfvC-tcPvraJcNViL)

## [Machine Learning (Coursera)](https://www.coursera.org/learn/machine-learning)
### Materials
- [CS229](http://cs229.stanford.edu/materials.html)
- [SEE CS229](https://see.stanford.edu/Course/CS229)
- [Bjørn Remseth Lecture Notes](https://dl.dropboxusercontent.com/u/187726/machine-learning-notes.pdf)
- https://github.com/1094401996/machine-learning-coursera

## [Introduction to Machine Learning for Coders (fast.ai)](http://course18.fast.ai/ml)
## [Practical Deep Learning For Coders (fast.ai)](http://course.fast.ai)

## [Deep Learning Book](http://www.deeplearningbook.org/)
### Materials
- [Companion Videos](https://www.youtube.com/channel/UCF9O8Vj-FEbRDA5DcDGz-Pg/playlists)

## [Tensorflow and deep learning without a PhD](https://cloud.google.com/blog/big-data/2017/01/learn-tensorflow-and-deep-learning-without-a-phd)

## [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course/)