Collection of Links
References and resources that I have found useful when studying machine learning and NLP.
|A forward pass of BERT-base
||An algorithm using precise notation to describe all multiplications performed in a BERT-base forward pass.
||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 in-depth exploration of CNN's.
|Murphy's Machine Learning: A Probabilistic Perspective
||The Stolichnaya of machine learning.
|Alpaydin's Introduction to Machine Learning
||My first introduction to machine learning.
|Writing an outline
|Designing an effective research poster
||Build a better research poster in less time.
Books worth a read.
||A multi-generational narrative set in 20th century China.
|Book of Why
||Judea Pearls' well executed attempt to bring graphical models into the everyday lexicon. Very readable.
||A challenging mix of problem solving, math and computer science.