Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
estimator. For the reasons of consistency and efficiency, maximum likelihood is often considered the preferred estimator to use for machine learning. When the number of examples is small enough to yield over-fitting behavior, regularization strategies such as weight decay may be used to obtain a