Dr. Niclas Kannengießer Gave a Talk on Automated Machine Learning Methods at the University of St. Gallen

(30.10.2024) Dr. Niclas Kannengießer delivered a presentation on the selection of methods for automated machine learning (AutoML) at the University of St. Gallen.

Machine learning (ML) has become an integral part of daily life, powering voice assistants, personalized recommendations, and even medical diagnostic systems. However, to make ML models function effectively, they must be carefully fine-tuned. A critical step in this process is optimizing 'hyperparameters'—settings that significantly impact a model's performance. These parameters, such as learning rate, dictate how quickly a model learns, affecting, for instance, the robustness of its learned insights. In his research talk, Dr. Niclas Kannengießer from the Karlsruhe Institute of Technology (KIT) explained the importance of choosing the right optimization method and the factors guiding practitioners in this decision.

More information can be found on the website of the University of St. Gallen: https://iwi.unisg.ch/en/newsuebersicht/news-detail/news/hyperparameter-optimierung-im-einsatz-so-treffen-fachleute-ihre-wahl/