Maximum Likelihood Estimation for Beginners (with R code)

Intuitive explanation of maximum likelihood method

The maximum likelihood principle is a fundamental method of estimation for a large number of models in data science, machine learning, and artificial intelligence. It is applicable to a range of methods from the logit model for classification to information theories in deep learning. This article is aimed to provide an intuitive introduction to the principle.