I keep this page up-to-date. Here, I list out all the resources I’m currently referring to for my learning. Whatever you see on Twitter are from these.
Ongoings
- ML: Build an LLM from Scratch by Raschka, currently chapter 3
- Math: Math Academy’s Mathematics for Machine Learning course, 11% done, trying to finish it by the end of 2024.
Plans
PyTorch
- PyTorch mastery by Bourke
- PyTorch appendix from Raschka’s LLM’s book
Papers
Refer to the paper lists to read page.
Books
- Machine Learning with PyTorch and Scikit-Learn by Raschka - Liu - Vahid
- Understanding Deep Learning by Simon Prince
- Alice’s Adventures in Differentiable Wonderland by Scardapane
- Designing Machine Learning Systems by Chip Huyen