Machine Learning and Deep Learning References

 

To Code

Languages: Python and R

Frameworks: PyTorch

Older Frameworks: Theano and Lasagne

Example code: NeuralNetwork-Examples

Tutorials

https://aldro61.github.io/microbiome-summer-school-2017/

To Watch

Stanford CS229 – Machine Learning – Andrew Ng
Course Website
YouTube Playlist
Coursera Course
Videos on Academic Torrents

CS231n: Convolutional Neural Networks for Visual Recognition
Course Website
Winter 2016 Videos on Academic Torrents
Spring 2017 Videos on YouTube
Spring 2017 Videos on Academic Torrents

Caltech CS156 – Machine Learning – Yaser Abu-Mostafa
Course Website
YouTube Playlist
Videos on Academic Torrents

CS224d: Deep Learning for Natural Language Processing Videos
Course Website
Videos on Academic Torrents

Neural Networks Video Lectures – Hugo Larochelle
YouTube Playlist
Videos on Academic Torrents

Neural Networks for Machine Learning Coursera Video Lectures – Geoffrey Hinton
Videos on Academic Torrents

To Read

Introduction to Applied Linear Algebra – Boyd and Vandenberghe
Book Website

Deep Learning – Ian Goodfellow and Yoshua Bengio and Aaron Courville
Book Website

Machine Learning: a Probabilistic Perspective – Kevin Patrick Murphy
Book Website

Pattern Recognition and Machine Learning – Christopher M. Bishop
Amazon Listing

Foundations of Machine Learning – Mehryar Mohri
Book Website

For Community

Reddit /r/MachineLearning

Reddit /r/computervision

More Lists

Kyle Kastner’s list on reddit

Medical Resources

Medical Imaging Tutorial

MICCAI Tutorials