Pattern Recognition and Machine Learning I, Experimentation and Evaluation in Machine Learning
(or knowledge from courses with similar content).
- Basic concepts of autonomous learning in technical systems
- Approaches for hyperparameter optimisation
- Basic introductions to:
- active learning
- collaborative learning
- transfer learning
- Reinforcement Learning
- Self-Awareness and self-reflection in technical systemen
The students will be able to successfully:
- Explain various concepts from the field of autonomous learning in technical systems.
- Design and develop intelligent technical systems with autonomous learning abilities.
- Evaluate and compare different autonomous learning approaches.