Machine Learning 4 Engineers


Univ.-Prof. Dr.-Ing. Andreas Kroll

Beschreibung (Vorlesung in englisch)

The students acquire fundamental knowledge of machine learning/ statistical methods for addressing various types of regression problems. They know the key terminology and concepts and are enabled to self-reliantly read the respective technical and scientific texts and apply their knowledge. The students can systematically develop solutions for different types of regression problems encountered in engineering.


  • Introduction to machine learning Linear and polynomial regression
  • Linear model selection and regularization
  • Non-parametric and non-linear regression
  • Deep learning
  • Application examples and case studies


Mündliche Prüfung 30 Minuten