Some useful machine learning links

I will be regularly adding interesting machine learning links to this post, somehow according to my personal interests.

	Machine learning theory cheatsheets from Stanford's CSS 229 by Shervine Amidi Cheatsheets on supervised learning, unsupervised learning, deep learning, and general good practices.
	Steve Ng's DeepLearning.ai notes by Tess Ferrandez Very useful for revising
	Some few-shot meta-learning papers A compilation of recent relevant articles on few-shot meta-learning, made by Yanbin Liu
	An introduction to Meta-learning A very nice introduction to meta learning by Thomas Wolf