- Teacher: Christian Ressel
- Teacher: Clein Alexander Sarmiento Castrillon
- Lecturer: André Frank Krause
- Lecturer: Christian Ressel
- Lecturer: Clein Alexander Sarmiento Castrillon
Machine Learning is a key to develop intelligent systems and analyze data in science and
engineering. This course provides an introduction to the fundamental methods at the core of
machine learning. It covers theoretical foundations including supervised and unsupervised
learning. The theory is beeing introduced by examples from the ambient intellegience
domain (and others) including learning as an approach to relize adaptive systems. The
implementation of programs in this domain is also part of the course. Having passed this
module students are aware of the challenges of machine learning. They have gained basic
understanding not just of algorithms but also critical reflection, which allows them to perform
problem oriented feature engineering, to find appropriate models.
Hochschule Rhein-Waal | Rhine-Waal University of Applied Sciences
Marie-Curie-Straße 1 | 47533 Kleve, Germany | Tel.: +49 2821 806 73 - 0 | Fax: +49 2821 80673 - 160
Friedrich-Heinrich-Allee 25 | 47475 Kamp-Lintfort, Germany | Tel.: +49 2842 908 25 - 0
Email: info@hochschule-rhein-waal.de or study@hochschule-rhein-waal.de