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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
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
Bremen Big Data Challenge Teaching 2021 Biosignale und Benutzerschnittstellen Advanced Machine Learning BBDC Seminar
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
Building Blocks for Expertise of IT Professionals in self-directed Learning Processes (Modul-IT/E-Learning) Within this project, e-Learning modules for teaching different subjects of software engineering
robot has learned to pour juice out of a bottle and into a glass, it – unlike humans – is unable to transfer the pouring capability to other containers and substances spontaneously. It has to learn almost