Question

Em algorithm machine learning comes under which learning

Answer 1

Expectation-Maximization (EM) is an algorithm for maximum likelihood estimation in models with hidden variables (usually missing data or latent variables). ... Common applications include fitting mixture models, learning Bayes net parameters with latent data, and learning hidden Markov models.