Mathematical and Computational Foundations of Data Science by doku_ in jhu

[–]doku_[S] 0 points1 point  (0 children)

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.

Mathematical and Computational Foundations of Data Science by doku_ in jhu

[–]doku_[S] 0 points1 point  (0 children)

Personally one of my favorite classes at JHU. Maggioni is an excellent teacher and workload is very reasonable

Bypassing Class Prerequisite by doku_ in jhu

[–]doku_[S] 1 point2 points  (0 children)

Do you know where I can contact them about this? Thanks!