[chainsaw10]

I’m intrigued by this course. However I’m also curious about its prerequisite:

> Machine Learning (e.g. CS221, CS229, CS230, CS124, CS224N) You should be comfortable with the basics of machine learning and deep learning.

Anyone have a good implementation-heavy self-study resource for those topics, or experience with the recorded lectures for those Stanford courses?

[alec_heif]

I found the 2024 Spring CS224N course sufficient for this pre-requisite, coupled with the textbook (chapters 1-13). Like CS336, this one also has videos and assignments available, and it being from 2024 is not a problem since the basics are mostly the same as recent years. Notably this is not true for 336, which spends much more time discussing cutting edge techniques, so the 2026 version there is essential.

Course: https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1246...

Lecture videos: https://www.youtube.com/playlist?list=PLoROMvodv4rOaMFbaqxPD...

Textbook: https://web.stanford.edu/~jurafsky/slp3/