Maximum Likelihood is a statistical method used to estimate the parameters of a model. It works by finding the values that make the observed data most probable. Essentially, it seeks to maximize the likelihood function, which measures how well the model explains the data. In practice, Maximum Likelihood is widely used in various fields, including economics, biology, and machine learning. By applying this method, researchers can make informed predictions and decisions based on the best-fitting model for their data.