The course on "Automated Machine Learning" addresses the challenge of designing well-performing Machine Learning (ML) pipelines, including their hyperparameters, architectures of deep Neural Networks and pre-processing. Future ML developers will learn how to use and design automated approaches for determining such ML pipelines efficiently.
- Profesor: Marius Lindauer
- Profesor: Franziska Neuhof
- Profesor: Dennis Vetter