[pramodliv1]

> 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.

[jczhang]

Would you recommend that Linear Algebra course?

[pramodliv1]

Sure! The course has a slow start. The first few lectures focus on the mechanics of matrix operations instead of starting with linear transformations, and compositions of linear transformation - the core ideas behind Linear Algebra. But after lecture 10, the course picks up pace.