🎓 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: 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 | 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.

Join our Discord.