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If anyone's wondering, CS229 is the ML course at Stanford (https://see.stanford.edu/Course/CS229)

Is this link for the latest offering? It has links to the video lectures as well, which OP's link doesn't.

the SEE materials are from 2007.

The Autumn 2017 materials have a lot of breadth - notes now cover deep learning, reinforcement learning, and gaussian processes.

Sadly, no solution is available for the psets. Personally, I don't see any value of assignments on the web without solutions as you cannot be sure of your answers.

i know what you mean.

on the other hand, many of the problems in CS 229 are proofs and derivations that are very similar to those in the lecture notes (forcing you to understand the lecture notes in detail). as such, they can't just "tweak the problems every year" like you'd do in a lower-division math course - they're more like the exercises in an upper division math text (some problems are in fact referenced in the notes).

so, it is perhaps understandable why they might not want solutions floating around the internet forever.

(yes, i know that the stanford honor code is supposed to deal with this.)

CS229 Materials (Autumn 2017)