Links to favorite resources below
Exercises
MathAcademy: https://mathacademy.com/
NeetCode Roadmap: https://neetcode.io/roadmap
CodeCrafters (affiliate link, but the course I tested was quite good): https://app.codecrafters.io/join?via=jeffreybiles
Books
Designing Data Intensive Applications: https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321
Hands On Machine Learning: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1098125975
YouTube
3blue1brown: https://www.youtube.com/@3blue1brown
StatQuest: https://www.youtube.com/@statquest
CoreDumped: https://www.youtube.com/@CoreDumpped
Andrej Karpathy: https://www.youtube.com/@AndrejKarpathy
Video Courses
MIT 18.06SC Linear Algebra: https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C
MIT 6.042J Mathematics for Computer Science: https://www.youtube.com/playlist?list=PLUl4u3cNGP60UlabZBeeqOuoLuj_KNphQ
MIT 6.004 Computation Structures: https://www.youtube.com/playlist?list=PLDSlqjcPpoL64CJdF0Qee5oWqGS6we_Yu
Build a 65c02 Computer from Scratch: https://www.youtube.com/playlist?list=PLowKtXNTBypFbtuVMUVXNR0z1mu7dp7eH
Great response video about how to learn AI: https://www.youtube.com/watch?v=5FM_0RUJhYo
0:00 Intro
0:25 Why I started studying
1:20 Math
3:45 Computer Science
5:25 Leetcode and Algorithms
6:41 Data Engineering
7:44 ML/AI
9:01 Reflections
10:30 Scattered Attention
11:21 What I'd do differently
https://x.com/jeffreybiles