Maximum Likelihood Estimation is a common method to figure out unknown population parameters. It's a way to find the best guess for these values using sample data. This method, introduced by RA Fisher, is widely used compared to other estimation methods like Least Square and Bayesian. The paper gives an overview of how Maximum Likelihood Estimation works and shows an example of how to calculate it from a set of sample data.