Resources
A curated collection of learning resources organised by topic. Use the table of contents on the right to jump between sections.
Large Language Models (LLMs)
| Resource | Description |
|---|---|
| Andrej Karpathy – Neural Networks: Zero to Hero | Video lecture series building neural nets from scratch |
| Hugging Face Course | Free NLP course using the Transformers library |
Machine Learning
- fast.ai — Practical deep learning for coders
- Stanford CS229 — Machine Learning
- An Introduction to Statistical Learning — James, Witten, Hastie, Tibshirani
- Hands-On Machine Learning — Aurélien Géron
Statistics
TipBayesian Statistics
- Statistical Rethinking — Richard McElreath
- Bayesian Methods for Hackers
TipCausal Inference
- Causal Inference: The Mixtape — Scott Cunningham
- The Effect — Nick Huntington-Klein
Data Engineering
Favourite Books
- Thinking, Fast and Slow — Daniel Kahneman
- The Book of Why — Judea Pearl
- Noise — Daniel Kahneman, Olivier Sibony, Cass Sunstein