> And at the start of the course, he teaches the very small subset of linear algebra required to understand his course materials.
I tried doing the ML course without any prior knowledge of Linear Algebra and dropped out after the first three weeks. In hindsight, I realized it wouldn't have been possible to appreciate how PCA works without understanding eigenvectors, how collaborative filtering is an elegant application of matrix factorization and so on.
But after I completed Strang's Linear Algebra course, the entire ML class was a breeze.
I tried doing the ML course without any prior knowledge of Linear Algebra and dropped out after the first three weeks. In hindsight, I realized it wouldn't have been possible to appreciate how PCA works without understanding eigenvectors, how collaborative filtering is an elegant application of matrix factorization and so on.
But after I completed Strang's Linear Algebra course, the entire ML class was a breeze.