Technical books converted into original chapter-by-chapter study notes. Pick a book, then move through its chapters from the vertical chapter navigator.
The opening arc of modern AI: what intelligence means, how rational agents are designed, and how search turns goals into actions in single-agent, complex, and adversarial worlds. Original story-led notes, at least 3,000 words per finished chapter.
A nature-inspired route through adaptive systems: neural learning, evolutionary computation, swarm intelligence, artificial immune models, fuzzy systems, and rough sets. Original story-led notes, at least 3,000 words per finished chapter.
Richard Szeliski’s 2nd edition explained as a first-principles master’s story—from image formation and features through recognition, SLAM, reconstruction, and rendering.
Sutton and Barto's 2nd edition explained chapter by chapter in approachable language—with intuition, equations, worked examples, mistakes, FAQs, and study cards.
A complete first-principles, master's-level companion to Daniel Jurafsky and James H. Martin's 3rd edition draft. Every chapter is a 4,400+ word story with its derivation, worked case, evaluation, failure modes, and study questions.
Original companion notes for Abraham Silberschatz, Peter Baer Galvin, and Greg Gagne's Operating System Concepts, 10th edition.
Original companion notes for Brendan Gregg's Systems Performance, 2nd edition — plain-language chapters with diagrams, gotchas, and a command cheatsheet at the end of every lesson.
Original companion notes for Brendan Gregg's BPF Performance Tools — plain-language chapters with diagrams, gotchas, and a BCC/bpftrace cheatsheet at the end of every lesson.