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  • humans and virtual reality
Institut für Informatik

Machine Learning 1

Machine Learning 1 teaches foundations in the areas of theoretical knowledge and practical experience in machine learning. Models, approaches and algorithms, and their practical implementation for the classical problems of machine learning are taught. Students are introduced to supervised and unsupervised learning methods. Upon completion, the students have theoretical and practical knowledge of typical models, methods and algorithms in the field of machine learning. They are able to solve practical problems in the field of machine learning with the help of appropriate methods. They have experience in the application or implementation of machine learning approaches.

Currently the module is taught through the lecture Machine Learning.