Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
on the basis of empirical data. The MAP estimate chooses the point of maximal posterior probability (or maximal probability density in the more common case of continuous θ): Where on the right hand side, log p(x|θ)is the standard log likelihood term, and log p(θ), corresponding to the prior