A cheap trick to avoid computing the posterior probabilities of all weight vectors
		• Suppose we just try to find the most probable weight vector. – We can do this by starting with a random weight vector and then adjusting it in the direction that improves  p( W | D ). • It is easier to work in the log domain. If we want to minimize a cost we use negative log probabilities: