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olive5/ml-lectures

ML/Math Lecture Archive Archived lecture videos (1080p MP4) with English subtitles (.vtt) from publicly available university course recordings on YouTube. 268 videos, ~72 GB. Contents Folder Course Videos 18.065_Strang/ MIT 18.065 — Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Gilbert Strang) 36 18.06SC_LinearAlgebra/ MIT 18.06SC — Linear Algebra, Fall 2011 (Gilbert Strang) 74 CS109_Piech/ Stanford CS109 — Introduction… See the full description on the dataset page: https://huggingface.co/datasets/olive5/ml-lectures.

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ML/Math Lecture Archive

Archived lecture videos (1080p MP4) with English subtitles (.vtt) from publicly available university course recordings on YouTube.

268 videos, ~72 GB.

Contents

FolderCourseVideos
18.065_Strang/MIT 18.065 — Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Gilbert Strang)36
18.06SC_LinearAlgebra/MIT 18.06SC — Linear Algebra, Fall 2011 (Gilbert Strang)74
CS109_Piech/Stanford CS109 — Introduction to Probability for Computer Scientists, 2022 (Chris Piech)29
CS221_2025/Stanford CS221 — Artificial Intelligence: Principles and Techniques, Autumn 202520
CS229_2026/Stanford CS229 — Machine Learning, Spring 202617
CS231N_2025/Stanford CS231N — Deep Learning for Computer Vision, 202518
CS336_2026/Stanford CS336 — Language Modeling from Scratch, Spring 202618
CS224N_2024/Stanford CS224N — NLP with Deep Learning, Spring 2024 (Christopher Manning)23
3B1B_LinearAlgebra/3Blue1Brown — Essence of Linear Algebra (Grant Sanderson)16
StatQuest_Stats/StatQuest — Statistical inference: standard error, confidence intervals, hypothesis testing, p-values, FDR, statistical power, t-tests, R-squared, Q-Q plots, correlation (Josh Starmer), plus one video on Spearman rank correlation by numiqo17

Each video is accompanied by subtitle files. Human-authored captions are stored as *.en-US.vtt where available; automatic captions as *.en.vtt / *.en-orig.vtt.

Licensing and attribution

These recordings are not original work of the uploader. Copyright remains with the respective institutions and instructors.

  • —MIT 18.065 is from MIT OpenCourseWare, licensed CC BY-NC-SA 4.0. Attribution: Gilbert Strang, MIT OpenCourseWare.
  • —MIT 18.06SC is from MIT OpenCourseWare, licensed CC BY-NC-SA 4.0. Attribution: Gilbert Strang, MIT OpenCourseWare.
  • —Stanford courses are published by Stanford Online on YouTube under the standard YouTube license.
  • —3Blue1Brown — Essence of Linear Algebra is published by Grant Sanderson on YouTube under the standard YouTube license.
  • —StatQuest videos are published by Josh Starmer on YouTube under the standard YouTube license.
  • —StatQuest_Stats/17 (Spearman rank correlation) is not a StatQuest video: it is published by numiqo on YouTube under the standard YouTube license.

All YouTube-licensed material above is included here for personal/educational archival reference only, and no redistribution rights are granted.

If you are a rights holder and want material removed, open a discussion on this repository and it will be taken down.