Collection of Links
Learning
References and resources that I have found useful when studying machine learning and NLP.
A forward pass of BERTbase 
An algorithm using precise notation to describe all multiplications performed in a BERTbase forward pass. 
Generative Modeling 
A formal course on generative modeling covering VAE's and GANS by John Cunningham. 
Stanford 231n: CNN's 
A nice introduction to deep learning and indepth exploration of CNN's. 
Murphy's Machine Learning: A Probabilistic Perspective 
The standard. 
Alpaydin's Introduction to Machine Learning 
My first introduction to machine learning. 
Academic Resources
Writing an outline 

Designing an effective research poster 
Build a better research poster in less time. 
Books
Books worth a read.
Red Sorghum 
A multigenerational narrative set in 20th century China. 
Book of Why 
Judea Pearls' well executed attempt to bring graphical models into the everyday lexicon. Very readable. 
Websites
Project Euler 
A challenging mix of problem solving, math and computer science. 