MLOps and DevOps: Why Data Makes It Different
O'Reilly on Data
OCTOBER 19, 2021
While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Model Development.
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