Machine Learning course

Recent book

https://probml.github.io/pml-book/book1.html

And notebooks to go with it: https://github.com/probml/pyprobml/tree/master/book1

Other packages that can round out the picture

  • https://pyro.ai/

  • https://www.broadinstitute.org/talks/deep-probabilistic-programming-pyro

  • https://github.com/pyro-ppl/numpyro

  • https://github.com/fehiepsi/rethinking-pyro

  • https://nlp.stanford.edu/projects/tacred/ — associated talk (+paper) can be found here: https://vimeo.com/238230211

The recent paper that got me there discussed+used their data, and generally bashed deep networks for RE compared to classical methods. https://arxiv.org/abs/2005.00087

Text analysis

This is the huge review article I had shared in September that covers a range of hyperreal mini projects in its subsubsections:

https://arxiv.org/abs/2009.11564