Resources

Uri Alon reads the living cell the way an engineer reads a circuit, and his whole course, lectures, notes, and exercises, is free. Where to get it, to open this series.

The story of making neural networks smaller and faster (number formats, quantization, pruning, and so on) is now serialized on the company blog. Here is where to go.

Reverse-engineering neural networks, circuit by circuit. Anthropic’s Transformer Circuits thread and a few companion resources are all free. Where to start, to open this series.

David MacKay’s classic ties information theory, inference, and machine learning into one story, and both the book and the lecture videos are free. Where to get them, to open this series.

The two best free ways into reinforcement learning: Sutton & Barto’s textbook (free PDF) and David Silver’s course (free videos). Where to get them, to open this series.