Probability Theory vs Machine Learning for aspiring HF quant

ssriniv's picture
Rank: Chimp | 5

I am a Master's student in Statistics at UC Berkeley and as an elective, I have the choice of taking either a graduate probability theory class (oof) or an undergraduate machine learning class (which is highly regarded in the data science world and gives lots of project experience over theory).

I'm leaning on the latter due to the project experience and the fact that I won't get my ass shredded, but the former still seems quite appealing if it can make me stand out among quant recruits. Thoughts?

Comments (2)

Jul 11, 2019

It doesn't matter given your program. Just do whichever you find more interesting.

Jul 15, 2019