Modul (Master)
Intelligent Learning and Analysis Systems (MA-INF 4102)
Prof. Dr. Stefan Wrobel Mitarbeiter
Note: Although course has started on Wed Oct. 15 you are welcome to join until Fri Oct. 24 (see url below).
Types of learning and analysis tasks, most important non-parametric and parametric methods for supervised learning (e.g., decision trees, rules, linear methods, neural networks, neighbourhood methods, kernel methods, probabilistic approaches), clustering, reinforcement learning, evaluation and learning theory, descriptive data mining methods (association rules, subgroups), pre- and postprocessing, data storage (data warehouses, OLAP), special data types (spatial, network, text, multimedia data), interactive and visual systems.
|