I'm currently figuring out which courses to take next semester, and I was hoping some internet wisdom from this relevant subreddit could help me decide.
This will be my final semester of an undergraduate math degree at a midtear state school. I have to decide between taking Analysis II, or a grad level Machine Learning course.
My goals are to go to grad school studying statistics and ML and eventually work in industry. I will probably take a pitstop in industry before going to grad school.
The main points I've been debating with myself are:
Analysis is a critical course for future math study and having more will help with grad school applications.
ML is my fix and I want to study it in grad school.
Studying ML seriously will require more Analysis, and the sooner the better.
MLwill help land an interesting job if I never make it to grad school.
Do you have any thoughts?
tl;dr more analysis courses, or machine learning courses?
[link][6 comments]