When people talk about working with ML requiring a lot of math, what do they mean? That is to say, I have a degree in electrical engineering so I learned a lot of math. However, my programming career hasn't required me to actually use it since I graduated.

So I understand/"know" a lot of math. However, it would be tough for me to build back up to the point where I can, for example, solve differential equations again.

In a manner of speaking: Does a career in ML require a strong understanding/knowledge of math or does it require you to be able to solve a lot of math?