parameter it's a prior over your weights effectively a Gaussian prior over your weights that you're putting in same thing would be happening here you put in a prior and then in cross-validation find out which prior yielded the best results now what we covered so far assumed in all of the maximum life here the maximum posterior that we observe all the data we can write out the density or the probability of all that data and there's no unobserved variables what we're going to cover next week Tuesday because I'm Thursday we'll do