MLOps, or Machine Learning Operations, is a set of practices that aims to automate and streamline the machine learning lifecycle, from development to deployment and monitoring. It encompasses version control, testing, integration, deployment, and infrastructure management to ensure that machine learning models are reliable, scalable, and continuously deliver value in production environments.
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