Full Explanation Of Mle, Map And Bayesian Inference

This article explores the concepts of MLE (maximum likelihood estimation), MAP (maximum a posteriori estimation) and Bayesian inference, which are fundamental to many fields such as statistics, data science and machine learning. Using an example of an unfair coin toss, the article explains each of these methods and analyzes the differences between them.