Research projects and practicals in machine learning are intended to give students an opportunity to get engaged in research conducted in one of the groups and labs participating in the ML Master study program, for the duration of one semester. Students will gain practical experience in designing and programming methods / software / tools for ML. They will be able to use libraries and frameworks, and will acquire knowledge or extend their knowledge of various programming languages. Students obtain teamwork and collaboration skills, and they will learn about project organization and presentation techniques. Students will know about the strengths and weaknesses and about the limitations of various methods for evaluating complex and high-dimensional data, and will be able to describe and evaluate these methods. Performance is evaluated based on active participation, a presentation of results and in written reports. Students are closely supervised by an AVG team member and present their progress in monthly student spotlights to the entire group.
Research Projects Machine Learning:
Practicals Machine Learning:
If you are interested in doing a research project or practical with us, please follow these steps:
Based on this information, we will match you to one of our research projects.
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