Collection of Links
Learning
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. |
| 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 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. |
Academic Resources
| Writing an outline |
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| Designing an effective research poster |
Build a better research poster in less time. |
Books
Books worth a read.
| Red Sorghum |
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. |
Websites
| Project Euler |
A challenging mix of problem solving, math and computer science. |