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I'm glad to see mathematics guides, social leaders, and research papers included in this list. It's one thing to google "nlp tutorial" but another to know who to follow and even where to find more advanced content.
Don't forget Nando's Deep Learning lecture series! Admittedly it's a little bit math heavy, but don't let that scare you off!

Also Hugo Larochelle's course is great for beginners!

A GitHub version of this list would be cool. I'm sure there are lots of people who do not have a medium account but do have a GH account.
Thanks for putting this together. I recommend you check out

https://sebastianraschka.com/

the author of Python Machine Learning. He's great at explaining things, wrote the bets intro to ML book IMHO and is a good Twitter follow.

I also humbly submit my own guide, from the perspective of how to approach studying it amidst all the resources available:

http://karlrosaen.com/ml/