The seminar will alternate between methodological concepts, practical examples and case studies in order to ensure a comprehensive understanding of the techniques presented.
The participants will be requested to look at 4 e-learning modules (of around 30 minutes each) presenting the basics of machine learning before the web session. The access to these e-learning modules will be granted up to the end of the seminar.
These 4 e-learning modules are
– Introduction to Machine learning
– Supervised learning (parts 1 and 2)
– Unsupervised learning
The case studies will be performed by the participants with the R software. An individual support can be available during the case study sessions through individual Teams meeting with the speakers.
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