Maximum Likelihood, Estimations, Statistics, Data Science, Likelihood.
involves finding the parameter values that maximize the log-likelihood function, usually denoted as θ̂. These estimates are considered the most probable values given the observed data and the assumed model. Applications of Maximum Likelihood Estimation Regression Analysis: MLE is widely used in