This repository is a curation of publicly available machine-learning educational material. It does not contain any original research or teaching content. Each document is a reformatted copy of publicly accessible material, retained here for research and educational purposes, with full attribution to the original author in its frontmatter and in SOURCES.md.
| Component | Rights |
|---|---|
Repository structure, INDEX.md, organization, any scripts |
MIT License (this repo) |
arXiv papers (corpus/papers/) |
Retained by their authors; included under arXiv's non-exclusive distribution license. Source ID + URL in each file. |
Lecture transcripts (corpus/youtube/) |
Auto-generated captions of publicly available videos, included for research/educational use. All rights remain with the speakers, courses, and institutions. |
Web articles (corpus/web/) |
Copyright their respective authors/publishers. Included for research/educational use with attribution and source URLs. |
This corpus is intended for non-commercial research and education — e.g. building learning tools, retrieval systems, embeddings benchmarks, and personal study. If you intend to use any included content commercially, obtain permission from the original rights holders.
If you are an author, instructor, institution, or rights holder and you would like your material modified or removed:
- Open an issue on this repository, or
- Contact the repository owner directly.
Such requests will be honored promptly and without dispute. The goal of this project is to help people learn and to send credit and traffic to creators — never to take anything away from them.
- Watch the lectures on their official channels and subscribe.
- Take the courses.
- Read and cite the papers.
- Read the blogs at their source.
The value here is in the curation and formatting; the knowledge is entirely theirs.