Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
biased version of maximum likelihood that has less variance when training data is limited. Maximum A Posteriori (MAP) Estimation Following Bayesian approach by allowing the prior to influence the choice of the point estimate. The MAP can be used to obtain a point estimate of an unobserved quantity