Ah yeah I agree it's not a terribly difficult concept to learn, but perhaps we have a different definition of graduate level math. Things like information theor

Ah yeah I agree it's not a terribly difficult concept to learn, but perhaps we have a different definition of graduate level math. Things like information theory are, at best, skimmed over in upper div math classes during undergrad. Having a solid understanding things like KL divergence, information entropy is just an indicator of one's overall math level, and if you are already there, you can consider yourself at graduate level. Though I guess math used in ML is probably kids play comparing to a graduate level mathematician or physicist.