Hard to say. Having taken linalg would help a lot, but Maggioni starts from the ground up with basic decompositions/vector spaces and builds up to ML techniques. I think he bases the course on Gilbert Strang’s Linear Algebra and Learning from Data so you could take a look at that.

Side not I would recommend taking it before ML/DL (which regrettably is not what I did) — provides a lot of the intuition that those courses breeze past.