[hiddencost]

Sure. I work in ML, in industry. Singular value decomposition and related methods are huge. Understanding basis vectors. Most of the notation I use every day. The intuitive understanding of linear algebra and ability to read papers that rely on it. a lot of ML relies on understanding data as points in high dimensional space.

a lot of the stuff you're mentioning is required for what I'd consider the really interesting topics in CS, stuff like ML, operations research, scientific computing.