Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
approaches infinity, the maximum likelihood estimate of a parameter converges to the true value of the parameter. Efficiency: A way to measure how close we are to the true parameter is by the expected mean squared error, computing the squared difference between the estimated and true parameter