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Course Details



Prof. Brunner
WIW-5243


Machine Learning in Health Care

Lecturer: Sebastian Kohl
Type: Vorlesung und Übung
Exam: written assignment and oral examination
ECTS: 6
Term: summer
Level: Master
Limitation: An application to attend is necessary.

At the end of the module, students understand the concepts of supervised and unsupervised learning as well as regression and classification problems. Moreover, they are familiar with the most effective machine learning techniques, underlying mathematical concepts and crucial performance indicators. In addition to the theoretical underpinnings of learning, students gain vast practical know-how and are able to apply these techniques to real-world problems. We use Python being the standard language for data science.


For further information or application procedure please check the module manual and the website of the chair.