ML Conference | December 9 – 11, Berlin

Machine Learning Principles

Machine Learning is still a quite new domain in the digital world. Many concepts, methods, pitfalls and principles need to be explored. The ML Principles track supports and invites the attendees of every skill level to find their way into new application areas by learning and understanding ML principles as presented by the speakers. As experts in their specific domain, they are keen to provide deep insights and set sound starting points for new practical endeavours with ML.

 

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Track Speakers

Dr. Andreas Bühlmeier

Dr. Andreas Bühlmeier

Dr. Bühlmeier Consulting
David Glavas

David Glavas

Technical University of Munich (TUM)
Nicolas Kuhaupt

Nicolas Kuhaupt

Fraunhofer IEE

Machine Learning Principles

Machine Learning is still a quite new domain in the digital world. Many concepts, methods, pitfalls and principles need to be explored. The ML Principles track supports and invites the attendees of every skill level to find their way into new application areas by learning and understanding ML principles as presented by the speakers. As experts in their specific domain, they are keen to provide deep insights and set sound starting points for new practical endeavours with ML.

Track Program

Behind the Tracks