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    A New Architectural Model Shift Beyond the Cloud in Python Using PS

    Abstract: Nowadays, data science initiatives are typically generated in an unstructured manner, making replication difficult. Transitioning from an experimental to a production environment is also difficult. Data scientists may transfer a pipeline from a local environment to the cloud using operational techniques like containerization, continuous deployment, and cloud orchestration. Recognizing the difficulties associated with establishing those procedures, this study proposes a framework for easier experiment monitoring and machine learning operationalization by …

    Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article

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