🚧 DEVELOPMENT PREVIEW - Built from dev@2c8f1297 • 2026-11-12 08:41 EST • Stable version →
MLSys·im: analytical models of ML training and inference. The books: Introduction to Machine Learning Systems · Scaling Machine Learning Systems (preview) · Agentic Machine Learning Systems (in preparation) · Physical AI (in preparation). All are open access. Companion resources: TinyTorch (build) · Hardware Kits (deploy) · MLSys·im (model) · Labs (explore) · Lecture Slides (teach) · Instructor Hub (teach) · StaffML (practice) · Newsletter
A cheat sheet and plain-English explanations for self-study
The self-paced tutorial accompanies the tutorial slides and the hands-on walkthrough notebooks. The cheat sheet gathers the equations and solver calls on one page, and the plain-English guide gives a second explanation of each law.
The core equations, registry names, and solver calls on one page.
What each of the 22 laws behind MLSys·im says and why it matters, in plain English.