Day 80 Expectation maximization #deeplearning #learn #learning #trending #artificialintelligence

"The Expectation-Maximization (EM) algorithm is used for finding maximum likelihood estimates in models with latent variables. It alternates between an expectation step, which estimates the latent variables, and a maximization step, which updates the model parameters. EM is widely used in clustering and incomplete data problems."