is all fine like we don't we don't really need Bayesian things but there are many situations where it actually is useful to be representing actually a distribution over the potential functions that we might be encountering and in particular because future learning problems only have a small number of data points they may be ambiguous even with when you do have a prior for example if your goal is to classify between all the images on the left and all the images on the right all the folks on the left are smiling