Stop learning ML from random tabs and half-finished playlists
Machine Learning Course Notes is a public collection of lecture notes for machine learning, NLP, and AI courses.
It helps you build a cleaner study path by grouping courses, lectures, videos, notes, descriptions, and authors in one scan-friendly table format.
Key features:
• Course-based map – sections for Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and more
• Lecture-level entries – each row shows the lecture name, description, video, notes, and author
• Notes + video pairing – jump from course context to the original lecture video and written notes when available
• WIP markers – incomplete notes are clearly labeled so you know what is ready and what is still being filled in
• Contribution path – README explains how to pick a lecture, avoid duplicate work through issues, revise notes, and open a PR
Free public GitHub repo; notes are licensed under CC BY-NC-SA 4.0.
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