AI & ML Now: Foundations That Still Matter

A compact math foundation covering linear algebra, calculus, optimization, probability, and statistics for ML.

A Keras 3-era deep learning text for readers who want practical neural-network work tied to modern generative AI workflows.

Also belongs here because implementing a small LLM is one of the clearest ways to understand modern model internals.