I have a pretty good math background, but understanding K-L divergence ([0], a measure of the difference between two probability distributions) required revisiting some calculus. It's needed for understanding models with probabilistic output, used in both generative models and reinforcement learning.

[0] https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_diver...