I don't really see this with modern graphics programming, but I was highly amused that my 1980s-1990s graphics skills (in particular, coordinate transform math) were very useful when I started working in robotics in the 2010s-2020s (because forward and inverse kinematics are exactly the same thing as 2d/3d projections.)
The trick there is that they both have related physical analogs, and machine learning math doesn't really (in that while you can visualize them spatially, it doesn't seem to help solve any problems in that space.)
The trick there is that they both have related physical analogs, and machine learning math doesn't really (in that while you can visualize them spatially, it doesn't seem to help solve any problems in that space.)