2-3 persons are working in a group on one topic. Each group is dealing with one machine learning concept (for instance, linear models, random forest, support vector machines ...). First, the theoretical foundations of the given concept are presented. In the next step, the concept will be applied to real-life data examples. Hence, for a given problem, each group should give a solution by applying its concept.
Participants should be proficient users in some programming language. It helps to have some knowledge in R or Python.
Registration: Till 17.02. by e-mail at j.krampe(at)tu-braunschweig.de
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