📘 Learning Library
You keep on learning and learning, and pretty soon you learn something no one has learned before. - Feynman
I am pursuing a BSc in Computers and AI. The following are the topics of my remaining exams. I currently have 114 university credits out of 180 required for graduation.
| Topic | Resources | Credits | Balance |
|---|---|---|---|
| Databases | |Stanford Dbclass | |+12 credits | |126 / 180 |
| AI & ML | | | |+12 credits | |138 / 180 |
| Astronomy | | | |+ 6 credits | |144 / 180 |
| Computation | |MIT 18.404J | |+ 6 credits | |150 / 180 |
| Probability | | | |+ 6 credits | |156 / 180 |
| Physics | | | |+ 6 credits | |162 / 180 |
| Thesis | | | |+18 credits | |🎓🎓🎓🎓🎓 |
This is a collection of topics, lectures, and textbooks that I may dive into and learn about in the future.
_ MIT 18.642: Topics in Mathematics with Applications in Finance
_ MIT 6.5840: Distributed Systems
_ Self-driving: ground, aerial, marine
_ "Let's reproduce GPT-2 (124M)" by Karpathy
_ MIT 6.5940: TinyML and Efficient Deep Learning Computing
_ Stanford CS183: Startup - Peter Thiel
_ Lamport's TLA+ lectures
This is a collection of notes on topics, lectures, and textbooks that I have explored in the past.
_ Calculus