DS / ML / AI Reference
This repository includes notes (primarily slides) and links to organizations & courses (or their equivalent counterparts) I have taken at UC San Diego / UC Berkeley. For my own notes, see below.
Important
- 5/18/23 - The College of Computing, Data Science, and Society has been formed at UC Berkeley. Read more about it here or about BIDS
- 7/18/24 - The School of Computing, Information, and Data Science has been approved at UC San Diego. Read more about it here
Interview Prep Resources
Curated Courses & Personal Notes
Statistics, Causal Inference, Pandas
- Data 8 - Foundations of Data Science, FA22 (John DeNero) - Textbook, Notes
- Data 100 - Principles & Techniques of Data Science, SP22 (Josh Hug & Lisa Yan) - Textbook, Notes
- DSC 10 - Principles of Data Science, FA23 (Offering I Staffed) - Textbook, Notes
- DSC 80 - Practice & Application of Data Science, WI24 (Suraj Rampure) - Textbook, Notes
Machine Learning
- CSE 151A - Machine Learning - Notes
- CSE 151B - Deep Learning - Notes
- CSE 152A - Computer Vision
- CSE 158 - Recommender Systems
- CS 182 - Deep Learning
- CS 188 - Artificial Intelligence - Notes
- CS 189 - Machine Learning - Notes, Notes
- CS 267 - Applications of Parallel Computers
- CS 280 - Computer Vision
Databases & Scalability
- DSC 100 - Relational Databases
- DSC 102 - Cloud Computing & Distributed Systems - Notes
- Data 101 - Data Engineering
- CS 186 - Databases
Other
Organizations
- Hacioglu Institute of Data Science
- Berkeley Institute of Data Science
- BAIR
- Launchpad
- ML@Berkeley
- CalHacks
- Big Data @ Berkeley
- TreeHacks
- Berkeley Data Science Society
- ACM AI
- Data Science Student Society
Other
- Terminals in DataHub
- CatalyzeX
- Neurel Style Transfer 1
- Neurel Style Transfer 2
- Big Model
- Visual Intro to ML
- CS 285 - Deep RL
- CS 231 - Conv Nets
- Google Cloud
- RL for Recommender Systems