It's the defacto term for how we fit a statistical model to data, unrelated to any copyright concepts. I'm pretty sure we called it "training" back in 1997 when I was doing neural networks at uni, and it's probably been used well before then too.
Neural nets are based on the concept of Hebbian learning (from the 1930s), because they are trying to mimic how a biological neural network learns.
This concept of training/learning has persisted because it's a good analogy of what we are trying to do with these statistical models, even if they aren't strictly neural networks.
NotTheOnlyGamer