MLOps and DevOps: Why Data Makes It Different
O'Reilly
OCTOBER 19, 2021
All ML projects are software projects. If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service.
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