Maximum Likelihood Estimation (MLE) is a statistical method used to estimate the parameters of a probability distribution by maximizing a likelihood function, thus making the observed data most probable under the assumed model. It is widely used due to its desirable properties such as consistency, efficiency, and asymptotic normality under regular conditions.