ML Pro: digital assistance system for interactive machine learning in production
Christian Neunzig,
Dennis Möllensiep,
Bernd Kuhlenkötter
et al.
Abstract:The application of machine learning promises great growth potential for industrial production. The development process of a machine learning solution for industrial use cases requires multi-layered, sophisticated decision-making processes along the pipeline that can only be accomplished by subject matter experts with knowledge of statistical mathematics, coding, and engineering process knowledge. By having humans and computers work together in a digital assistance system, the special characteristics of human a… Show more
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