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It's just linear algebra and the chain rule. Both of these are taught in highschool.
by katzinsky 2y ago
It's just linear algebra and the chain rule. Both of these are taught in highschool.
- JustinSkycak 2y agoThat's Stage 1: Foundational Math -- with the addition of calculus-based probability/statistics, and the specification that it's the multivariable chain rule (not just the one in single-variable calculus), as well as differential multivariable calculus in general (gradient vector, etc.). But there's plenty more to learn in stages 2/3/4 before you reach the cutting edge. Would encourage you to read the article! :) Should also point out that -- in the USA, at least -- linear algebra, multivariable calc, and calculus-based probability/statistics are not typically taught in high school. There's quite a bit of university-level math that someone needs to know if they want to reach cutting-edge ML/AI.
- david38 2y agoWhat percent of high schools offer linear algebra?
- vouaobrasil 2y agoNot many. I went to a good school but still had to wait to first-year university to learn linear algebra. Assuming you mean "real" linear algebra with matrices, inverse matrices, determinants (please don't mention Axler's book), and linear operators.
- brailsafe 2y agoI believe Linear algebra is/was taught in the pre-calc path of the provincial public curriculum (Canada) if you chose it as an optional thing. I did not.
- JustinSkycak 2y agoIt's common to find a little bit of linear algebra in a serious precalculus course, but nowhere near what's needed for ML. (For instance, I've never seen a precalculus course that covers eigenvectors, diagonalization, SVD, pseudoinverse, subspace projection, etc.)