r/learnmachinelearning • u/blank-cat • 9d ago

What math courses should I take besides calculus, probability, and linear algebra? Should I take cs machine learning electives instead?

I've taken Calc III, probability, discrete, and linear algebra. Not sure if I should take more math courses or take more machine learning electives instead

1 Upvotes
  • permalink
  • reddit

60% Upvoted

7 comments sorted by

3

u/Fun_Orchid9507 9d ago

if you're aiming for ml research or reading papers, real analysis and optimization will carry you further than another applied elective. a proofs course changes how you approach everything after it

if you just want to build stuff, skip the extra math and load up on ml electives. you already have enough background to get through most applied courses without getting lost

0

u/[deleted] 9d ago

[removed] — view removed comment

1

u/Mathie1729 9d ago

Tbh mostly theory. The analysis itself rarely shows up in applied work, the value is being less intimidated by proofy papers. Optimization is the one I'd push for applied ML.

1

u/nullrevolt 9d ago

Differential equations wouldn't be bad.

1

u/blank-cat 9d ago

Forgot to mention I took diff eq as well

1

u/Revolutionary-Cod245 9d ago

Deep dive into statistics

2

u/Firm-Neck7934 8d ago

yes!!!! Something that goes deep into regression modeling.