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mlguide: methodological guidance in applied machine learning

 

Thank you for taking part in this short survey which will take around 5-10 minutes to complete.

The survey targets Data Science and Machine Learning practitioners and researchers from all sectors and domains. It is part of a research project conducted at the Fraunhofer Institute for Digital Medicine MEVIS in Bremen, Germany.

In our research project, we aim to develop an interactive methodological guidance for questions in applied machine learning which occur frequently and are difficult to solve in day-to-day work. The aim of this survey is to find out which steps of a typical ML workflow cause the most problems and which requirements an ideal interactive guidance should fulfill.

Providing information is completely voluntary for every question. However, we are happy about each and every question answered. Any data you provide will only be used for research purposes at Fraunhofer MEVIS and will only be disseminated in aggregated form. 

Please take the survey in one go. It is not possible to save your progress and continue later.

There are 23 questions in this survey.