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What Gets Measured Gets Improved: Monitoring Machine Learning Applications in Their Production Environments

Machine learning (ML) applications face many new, hardly predictable aspects in their production environments. Detecting new aspects in an ML production environment and understanding their impacts on the ML application is crucial if organizations are to ensure ML applications functionality. A monito...

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Principais autores: Dominik Protschky, Luis Lammermann, Peter Hofmann, Nils Urbach
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2025-01-01
Series:IEEE Access
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Acceso en liña:https://ieeexplore.ieee.org/document/10886935/
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