Advanced Machine Learning, 7,5 credits

The main purpose of the course is to introduce students to advanced methods from machine learning and data mining. The current technological development and integration of AI and the Internet of Things (IoT) require new and intelligent solutions for processing and analyzing heterogeneous, multi-dimensional data coming from multiple sources. In order to cope with these new challenges, hybrid and advanced techniques are required, e.g., semi-supervised learning, federated learning, data stream mining, and many others. In addition, it is important that these models are easy to understand and analyze (Explainable AI) and do not treat individuals unfavorably (Ethics and Fairness). The course will cover such methods and provide the necessary skills for the students, broaden their knowledge, and prepare them to deal with real-world industrial challenges.