https://github.com/dair-ai/ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.
https://github.com/dair-ai/ML-Course-Notes

ai data-science deep-learning machine-learning natural-language-processing

Last synced: 8 months ago
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🎓 Sharing machine learning course / lecture notes.

• Host: GitHub
• URL: https://github.com/dair-ai/ML-Course-Notes
• Owner: dair-ai
• License: other
• Created: 2022-03-17T11:18:50.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-05-16T18:51:33.000Z (over 1 year ago)
• Last Synced: 2025-04-10T16:43:02.967Z (8 months ago)
• Topics: ai, data-science, deep-learning, machine-learning, natural-language-processing
• Homepage:
• Size: 54.7 KB
• Stars: 6,146
• Watchers: 160
• Forks: 816
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# 🎓 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](https://www.coursera.org/specializations/machine-learning-introduction) | 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](http://introtodeeplearning.com/) | 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](http://phontron.com/class/nn4nlp2021/schedule.html) | 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](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ) | Instructor: C‪hristopher 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](https://web.stanford.edu/class/cs25/) | 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](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) | 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](https://github.com/dair-ai/ML-YouTube-Courses). 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](https://twitter.com/omarsar0).

Join our [Discord](https://discord.gg/FzNtjEK9dg).