Advanced Machine Learning

Catalog description

A broad introduction to advanced machine learning, including data pre-processing and feature selection; anomaly detection; advanced learning approaches (meta-learning, semi-supervised learning, reinforcement learning, federated learning, transfer learning, multimodal learning); biclustering; recommender systems; ensembles and committee machines; multilabel classification; unstructured data mining; graph and network mining.