Ask HN: Resources to Learn AI/ML Fundamentals
I'm interested in learning the fundamentals of AI and machine learning—especially the core concepts like vectors, linear algebra, and foundational intuition behind how things work.
Can anyone recommend a solid books, article series, or lecture series that covers these topics well? Ideally something beginner-friendly but rigorous.
Karpathy's book is very good. I learned Pytorch from it.
If you don't know Linear Algebra at all you might want to get a textbook (I learned from Anton's, I'm not sure it matters.) You'll also want to have a rough understanding of vector calculus if you never took that (but you wouldn't need to be good enough to pass a class.)
This might sound crazy but I've had good luck asking AI to write me a lesson plan for learning things, topics and etc.
Not a bad idea. Thanks