I haven't had to rely a lot on math skills for a large portion of my career. For most "full-stack" stuff I've been involved with, it barely gets any higher than

I haven't had to rely a lot on math skills for a large portion of my career. For most "full-stack" stuff I've been involved with, it barely gets any higher than algebra. However, I've found math creep up though here and there, whether it be in understanding how projections worked in the mapping software I wrote, the computer graphics code I assisted with, and also in my routing algorithms for traffic flow. Nowadays my lack of knowledge is most apparent in studying machine learning. There have been some very high level concepts employed, at least for me: Jacobian matrices, partial derivatives, tensors, etc. I've been able to fake that for a while, the algorithms get abstracted in the libraries. Yet the abstraction obscures a real understanding for me in how they work.