// the find
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
A curriculum guide from 2017 pointing to external YouTube playlists, MOOCs, and other resources for learning ML over three months. It's a link dump, not a repo — there's no code, no exercises, no original content. Target audience is beginners who want a structured reading list rather than hands-on material.
The math-first ordering (linear algebra → calculus → probability → algorithms before any ML) is sensible and often skipped in beginner curricula. Fast.AI inclusion in month 3 is a good call — still one of the better practical deep learning courses. The three-month framing gives beginners a concrete timeline to work against.
The repo is essentially a README with links, several of which are dead or point to outdated content (TensorFlow 1.x intro, Udacity links that have rotted). Siraj Raval's own reputation became a significant liability after 2019 plagiarism scandals, which undermines trust in the curation. Nothing here has been updated since 2024 and the ML landscape has shifted enough that the tooling recommendations are stale — no mention of PyTorch, Hugging Face, or modern LLM fundamentals. Stars are largely legacy traffic from when this was posted.