building our semester than this and so the whole idea is that how do we actually estimate these things we ask to make them from data we collect as many training data points as we can we ask them ate them from data and then we just hope that this works on other data a big hope big hope is that we have a lot of data if we collect enough of it we get all edge cases we can drive our cars whatever those cases are right and so that's the notion of what machine learning people mean by generalization I actually think generalization is one of