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MLOps -- Definitions, Tools and Challenges | | G. Symeonidis
; E. Nerantzis
; A. Kazakis
; G.A. Papakostas
; | | Date: |
1 Jan 2022 | | Abstract: | This paper is an overview of the Machine Learning Operations (MLOps) area.
Our aim is to define the operation and the components of such systems by
highlighting the current problems and trends. In this context, we present the
different tools and their usefulness in order to provide the corresponding
guidelines. Moreover, the connection between MLOps and AutoML (Automated
Machine Learning) is identified and how this combination could work is
proposed. | | Source: | arXiv, 2201.00162 | | Services: | Forum | Review | PDF | Favorites | |
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