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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

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? Why: Data Makes It Different.

DevOps 141