I was learning principal component analysis a few years back which uses Eigenvectors to reduce feature dimensions while minimizing information loss (sorry if I butchered this)
I was really struggling to grok what Eigenvectors and Eigenvalues were and found this video to be the best intuition primer. I wish I had 3b1b when I was in high school and college
Literally all you need.
I think anyone starting a lin alg course could do a lot worse than
watch all his "Essence of Linear Algebra" series before starting - then
watch the relevant (c. 15 min) episodes as you take each lecture.
My grades in undergrad would have been so much better if Youtube had existed. Oh well.
One day, when 13 year olds can use VR to meaningfully bootstrap their understanding of differential equations, I’ll probably wish the metaverse was around when I was a kid.