Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
learning. The idea is to find the values of the model parameters that maximize the likelihood of observed data such that the observed data is most probable. Let’s look at an example to understand MLE better. Assume that we want to estimate the average height of a city’s population. However, because