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Automated Machine Learning

Course objectivesThere will be several lectures presented by the lecturers (approximately 6) in which core techniques from the field of AutoML are presented. The other lecture slots are filled with…

From  Alexandra Blank 0 likes 5 plays

Text Mining

Course objectivesAfter successful completion of this course, students have an understanding, both at the conceptual and the technical level, of natural language processing (NLP) methods for the…

From  Alexandra Blank 0 likes 7 plays

Information Theoretic Data Mining

Course objectivesAt the end of the course, students:Have a clear understanding of information theory (both algorithmic and Shannon's). Have a clear understanding of advanced algorithms for data…

From  Alexandra Blank 0 likes 6 plays

Modern Game AI Algorithm

Course objectivesGetting an overview over and a fundamental understanding of the algorithms that drive Game AI and thus also AI progress, e.g. Monte Carlo Tree Search, Deep (Reinforcement) Learning,…

From  Alexandra Blank 0 likes 3 plays

Reinforcement Learning

Course objectivesAfter completing the reinforcement learning course, the students should be able to:Understand the key features and components of deep reinforcement learning; Knowledge of theoretical…

From  Alexandra Blank 0 likes 4 plays

Foundations of Software Testing

Course objectives At the end of the course students are expected to understand the fundamentals of software testing, the basic test types and activities, the principles behind testing coverage…

From  Alexandra Blank 0 likes 3 plays