What Should a DevOps Do When You Want Machine Learning
summary
Explains what a DevOps engineer should do when management wants to add machine learning: how to assess requirements, where to look for tools and resources, and how to adapt existing CI/CD and infrastructure to support ML workflows. Mentions practical steps for integrating ML projects into established DevOps processes so deployments, testing, and operations continue to run smoothly.
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