I will spam you with my uncurated collection I've hoarded for just from the past few months here on HN:

CS 20SI: Tensorflow for Deep Learning Research http://web.stanford.edu/class/cs20si/syllabus.html https://news.ycombinator.com/item?id=13781067

A visual introduction to probability and statistics http://students.brown.edu/seeing-theory/ https://news.ycombinator.com/item?id=13735714

Mathematicians becoming data scientists: Should you? How to? https://quomodocumque.wordpress.com/2017/02/26/mathematician... https://news.ycombinator.com/item?id=13739687

good beginner tutorials for Stan or probabilistic programming in general http://camdavidsonpilon.github.io/Probabilistic-Programming-... https://news.ycombinator.com/item?id=13742102

Supporting the AI Talent Pipeline https://medium.com/@mark_riedl/supporting-the-ai-talent-pipe...

Georgia Tech Offers Online Master of Science in Analytics Degree for Under $10K https://news.ycombinator.com/item?id=13382263

Practical Deep Learning For Coders http://course.fast.ai/ https://news.ycombinator.com/item?id=13224588

https://news.ycombinator.com/item?id=13599074 (learn or be a dinosaur)

https://news.ycombinator.com/item?id=13605222 ($1k machine)

https://news.ycombinator.com/item?id=13588070 (oxford deep nlp)

Coding The Matrix: Linear Algebra Through Computer Science Applications http://codingthematrix.com/

Here is the good guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/

FWIW, a "super harsh" guide to (learning) ML [1] was posted on reddit a few days ago.

[1] https://redd.it/5z8110