Loading...

Analysis of EM Algorithm

Course video 25 of 29

In this module, we discuss the problem of learning models in cases where some of the variables in some of the data cases are not fully observed. We discuss why this situation is considerably more complex than the fully observable case. We then present the Expectation Maximization (EM) algorithm, which is used in a wide variety of problems.

À propos de Coursera

Cours, Spécialisations et Diplômes en ligne enseignés par des enseignants du plus haut niveau provenant des meilleurs universités et établissements d'enseignement du monde.

Community
Join a community of 40 million learners from around the world
Certificate
Earn a skill-based course certificate to apply your knowledge
Career
Gain confidence in your skills and further your career