Proactive Error Avoidance in Production through Machine Learning
The aim of the project is to avoid production errors using methods from the field of "machine learning". In doing so it will be focusing on increasing the level of automation in the development and maintenance of particular models in order to make operational deployment feasible.
Financing by the Federal Ministry means that 2 research positions have been created for the project.
