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Course contents include brain and EEG, experiment design, signal processing, visualization, machine learning, evaluation. Before the start of the course, a Python introduction must be completed (time-flexible)
Section: FB3
and complex climate models, as well as the processing of large amounts of data related to machine learning, in financial services, retail, and health and social services. The program can be started in both
Israeli company SagivTech Ltd. and develops data-driven methods based on neural networks and deep learning. These methods have concrete applications in medical magnetic particle imaging, a technology for
are on the trail of the secrets of Artificial Intelligence (AI). It is now widely known that deep learning and other AI processes achieve amazing results for a multitude of applications. But why do they
Graduiertenkolleg Interdisciplinary learning programs on the subject of digital media for scholarship holders. Information Funded by the Klaus Tschira Stiftung (KTS) Duration: 2007 - 2014 Contact: Dr.-Ing
during typical mobile activities in real life outdoor environments. Most participants were able to learn the meaning of specific symbols in a short time span. They could further reliably remember them a
reality and computer graphics to achieve sustainability, or energy consumption and biases in machine learning.The events will be held on Mondays from 4 to 6 p.m. and are offered as hybrid sessions: Face-to-face
on and registration, visualization, and biomedical modeling. Statistical approaches and machine learning have always played a role, but more recently, we have seen an increasing impact through the introduction