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2024
Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data
Frederic Jonske, Kevin Osthues, Amin Dada, Enrico Nasca, Jana Fragemann, Julian Alff, Oleh Bakumenko, Marcel Birnbach, Maxim Kondratenko, Lars Reinike, Benjamin Schulz, Fabian Siethoff, Tobias Simon, Joey Wang, Nils Zhang, Fin Hendrik Bahnsen, Jan Egger, Moon-Sung Kim, Maria Lymbery, Jens Kleesiek, Johannes Kraus
Artificial Intelligence for Security: Enhancing Protection in a Changing World
Abstract
Machine learning (ML), especially deep learning (DL), is a field of research that has recently attracted enormous attention and is currently evolving rapidly. New applications in economics, industry, and healthcare create new challenges for the sustainable development of our society. We describe the organization and realization of a machine learning seminar that integrates a theoretical seminar and a practical tutorial focusing on the employments of DL in liver cancer diagnostics. The seminar has been designed for master students in mathematics and computer science with the aim to prepare them for potential master theses and future work assignments in the area of ML in healthcare.
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