Hi
In few weeks I will be choosing modules for my third year of maths. I want to do master in ML after my undergrad and I'm thinking which modules should I take next year.
I've already decided to take ones about bayesian statistics, algorithms, strictly about machine learning and few more stats/applied modules but I'm wondering which one of these would be more useful for ML - survival analysis or graph theory?
I know the lecturer that does analysis is very good and I like stats but graph theory seems more applicable for anything related to cs (+ I took only few pure modules which I enjoyed). Any advices?
cheers