Training of machine learning models for data-driven decision-making

摘要

A process for training machine learning models (51) includes: capturing (S10),by one or more computers (52),data obtained from one or more measuring devices (60-62) and/or at least one input device (70);Received (S12),by one or more computers (52),of several classification data units relating to the data (70);Received (S13),by one or more computers (52) and for each of the classification data units, a selected part (71) of the data (70);and training (S14),by one or more computers (52),of several machine learning models (51),each based on at least one of the classification data units and at least one corresponding selected part (71) of the data (70).