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๐ŸŽ“ Machine Learning Course Notes

A place to collaborate and share lecture notes on all topics related to machine learning, NLP, and AI.

WIP denotes work in progress.


Machine Learning Specialization (2022)

Website | Instructor: Andrew Ng

Lecture Description Video Notes Author
Introduction to Machine Learning Supervised Machine Learning: Regression and Classification Videos Notes Elvis
Advanced Learning Algorithms Advanced Learning Algorithms Videos WIP Elvis
Unsupervised Learning, Recommenders, Reinforcement Learning Unsupervised Learning, Recommenders, Reinforcement Learning Videos WIP Elvis

MIT 6.S191 Introduction to Deep Learning (2022)

Website | Lectures by: Alexander Amini and Ava Soleimany

Lecture Description Video Notes Author
Introduction to Deep Learning Basic fundamentals of neural networks and deep learning. Video Notes Elvis
RNNs and Transformers Introduction to recurrent neural networks and transformers. Video Notes Elvis
Deep Computer Vision Deep Neural Networks for Computer Vision. Video Notes Elvis
Deep Generative Modeling Autoencoders and GANs. Video Notes Elvis
Deep Reinforcement Learning Deep RL key concepts and DQNs. Video Notes Elvis

CMU Neural Nets for NLP (2021)

Website | Instructor: Graham Neubig

Lecture Description Video Notes Author
Introduction to Simple Neural Networks for NLP Provides an introduction to neural networks for NLP covering concepts like BOW, CBOW, and Deep CBOW Video Notes Elvis

CS224N: Natural Language Processing with Deep Learning (2022)

Website | Instructor: Cโ€ชhristopher Manning

Lecture Description Video Notes Author
Introduction and Word Vectors Introduction to NLP and Word Vectors. Video Notes Elvis
Neural Classifiers Neural Classifiers for NLP. Video WIP Elvis

CS25: Transformers United

Website | Instructors: Div Garg, Chetanya Rastogi, Advay Pal

Lecture Description Video Notes Author
Introduction to Transformers A short summary of attention and Transformers. Video Notes Elvis
Transformers in Language: GPT-3, Codex The development of GPT Models including GPT3. Video WIP Elvis

Neural Networks: Zero to Hero

Lectures | Instructors: Andrej Karpathy

Lecture Description Video Notes Author
Let's build GPT: from scratch, in code, spelled out Detailed walkthrough of GPT Video WIP Elvis

Miscellaneous Lectures

Lecture Description Video Notes Author
Introduction to Diffusion Models Technical overview of Diffusion Models Video WIP Elvis
Reinforcement Learning from Human Feedback (RLHF) Overview of RLHF Video WIP Elvis

How To Contribute

  1. Identify a course and lecture from this list. If you are working on notes for a lecture, please indicate by opening an issue. This avoids duplicate work.
  2. Write your notes, preferably in a Google document, Notion document, or GitHub repo.
  3. We care about quality, so make sure to revise your notes before submitting.
  4. Once you are finished, open a PR here.

If you have any questions, open an issue or reach out to me on Twitter.

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