Thesis supervisor: Viktor Dörfler
Location of studies (in Hungarian): Széchenyi István University Abbreviation of location of studies: SZE
Description of the research topic:
We suggest adopting a transdisciplinary approach for exploring the ways of recognising talented apprentices. We expect following Popper’s tentative process of problem solving for understanding the role and usability of machine learning algorithms in transferring personalised patterns of meta-knowledge
Required language skills: English Number of students who can be accepted: 2
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