What is the Expectation-Maximization (EM) algorithm used for?

Question

Machine Learning — Medium

What is the Expectation-Maximization (EM) algorithm used for?

Accepted Answer

The Expectation-Maximization (EM) algorithm is used to find maximum likelihood estimates for models with latent variables by alternating between the E-step (computing expected log-likelihood) and the M-step (maximizing it).