MLOps and DevOps: Why Data Makes It Different
O'Reilly
OCTOBER 19, 2021
As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. To make ML applications production-ready from the beginning, developers must adhere to the same set of standards as all other production-grade software.
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