ML Conference | December 4 – 6, Berlin

Machine Learning Principles

An overview of the indispensable bits of matrix algebra, calculus and principles you should know, with the tips and tricks that will get you started!

 

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Track Speakers

Prof. Dr. Björn Schuller

Prof. Dr. Björn Schuller

Universität Passau
Jan Stępień

Jan Stępień

innoQ Deutschland GmbH
Sebastian Meyen

Sebastian Meyen

Software & Support Media GmbH
Dr. Katleen Gabriels

Dr. Katleen Gabriels

Eindhoven University
Stefano Tempesta

Stefano Tempesta

EF Education First
Prof. Wolfgang Henseler

Prof. Wolfgang Henseler

SENSORY-MINDS GMBH

Track API Design und Microservices

Machine Learning Principles

Systems for Machine Learning are structured differently than conventional software systems. Developers and software architects have to rethink their approaches and break new ground. The basis for this is a deep understanding of the potential of machine learning and what added value it can generate for your company. In the track “Machine Learning Principles”, experts present the basics of Machine Learning systems on the basis of practical examples and make clear what is possible and what may not yet be possible.

Track Program