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Training and Serving ML workloads with Kubeflow at CERN

Machine Learning (ML) has been growing in popularity in multiple areas and groups at CERN, covering fast simulation, tracking, anomaly detection, among many others. We describe a new service available at CERN, based on Kubeflow and managing the full ML lifecycle: data preparation and interactive ana...

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Detalles Bibliográficos
Autores principales: Golubovic, Dejan, Rocha, Ricardo
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202125102067
http://cds.cern.ch/record/2780362