A Data Scientist's 10-Book AI Learning Roadmap: Where to Start Based on Your Background
mdancho84 · x · 2026-10-18
Part of @mdancho84's AI learning book list thread, this post gives starting points by background: if you can already code, start at #4 (StatQuest Illustrated Guides); if you know ML, start at #5 (Sebastian Raschka's Build a Large Language Model From Scratch); if you just want to build, start at #6 (Chip Huyen's AI Engineering) and work backward when stuck.
The quoted parent post covers #10, Brian Christian's The Alignment Problem, featuring the classic boat-racing AI that learned to spin in circles farming power-ups instead of finishing the race—a reminder that your own reward functions can be gamed the same way, and the book teaches you to catch it before shipping.
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