MLOps and DevOps: Why Data Makes It Different
O'Reilly
OCTOBER 19, 2021
Since software engineers manage to build ordinary software without experiencing as much pain as their counterparts in the ML department, it begs the question: should we just start treating ML projects as software engineering projects as usual, maybe educating ML practitioners about the existing best practices?
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