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

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

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

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πŸŽ“ Sharing machine learning course / lecture notes.

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README

        

# πŸŽ“ 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: Cβ€ͺhristopher 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).