Harsh Guide to Machine Learning

https://www.reddit.com/r/MachineLearning/comments/5z8110/d_a_super_harsh_guide_to_machine_learning/

With Links to everything:

1. Elements of Statistical Learning: http://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf
2. Andrew Ng's Coursera Course: https://www.coursera.org/learn/machine-learning/home/info
3. The Deep Learning Book: https://www.deeplearningbook.org/front_matter.pdf
4. Put tensor flow or torch on a linux box and run examples: http://cs231n.github.io/aws-tutorial/
5. Keep up with the research: https://arxiv.org
6. Resume Filler - Kaggle Competitions: https://www.kaggle.com