You've collected data and you have a model in mind — maybe a Gaussian, maybe a coin flip. But the model has parameters, and you need to find the values that best explain what you observed. How?

Maximum Likelihood Estimation (MLE) answers this with a deceptively simple idea: choose the parameters that make your observed data most probable. By the...