Resources
A living list of learning resources I’ve found genuinely useful. Not ranked, grows over time.
AI & LLMs
- Anthropic docs — Claude API, prompt engineering guides
- fast.ai Practical Deep Learning — hands-on deep learning, free
- Neural Networks and Deep Learning — free online book by Michael Nielsen
- The Deep Learning textbook — Goodfellow et al., free online
Embedded & Hardware
- AVR Libc Reference Manual — authoritative AVR C library docs
- Exploring Raspberry Pi (book) — Derek Molloy’s hands-on guide
Software Engineering
- Python Data Science Handbook — Jake VanderPlas, free online
- Learn You Some Erlang — Erlang fundamentals, free online
- Elixir Getting Started — official Elixir tutorial
- Kaggle — datasets, competitions, free courses
Math & Theory
- Neural Network Design (pdf) — Hagan et al., free textbook