The course provides both theoretical and practical training in data science, with a focus on typical machine learning techniques such as clustering, dimensionality reduction, classification, and regression. Students will learn how to interpret inferred models and explain their structure and decisions. Practical exercises are included to reinforce the concepts learned throughout the course.
- Teacher: Zala Gruden
- Teacher: Dennis Vetter
- Teacher: Blaž Zupan