Books and materials I recommend for people working with applied AI.
Some links below are Amazon affiliate links. If you buy through them, I earn a small commission — at no extra cost to you. I only recommend what I actually read and find useful.
The most practical book I've read on taking AI to production. It covers evaluation, RAG, fine-tuning, and deployment without academic fluff — exactly the bridge between paper and product. Essential for anyone leaving the notebook for the real world.
View on Amazon →The reference for thinking of ML as a system, not an isolated model. Data pipelines, monitoring, feature stores, and the architecture decisions no course teaches. A must-read before putting any model into production.
View on Amazon →