Machine Learning II

Catalog description

This course builds on the concepts and learning algorithms studied in Machine Learning I and covers advanced machine learning methods that may include ensembles of trees (random forests, gradient boosted trees), neural networks and deep learning. Best practices for applying machine learning and evaluating performance of the learned models will be discussed.