Maximum-likelihood for regression and classification: an overview

The objective of this seminar is to provide an overview on commonly used maximum-likelihood algorithms, such as linear regression, logistic regression and Naive Bayes classifiers. Numerical implementation aspects will be also discussed. Finally, a novel optimization-based algorithm for training Markov jump models will be presented, empathising its maximum-likelihood interpretation.