learning right and the core theorem of machine learning is that the the population error that we really care about is just equal to the training error plus the generalization error right sorry that's like the foundation of ten thousand ten thousand papers right we've all done that at one point in our lives right so we can measure this one and then we do a lot of thinking about why this should be small I mean this requires like the associative property there's stuff to be done here right I think we can equip a