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Mlops

A set of practices designed to deploy and maintain machine learning models in production environments efficiently and reliably. MLOps combines elements of machine learning, DevOps, and data engineering to streamline the process of taking models from development to production, ensuring scalability, reliability, and maintainability. It primarily benefits data scientists, DevOps engineers, and IT professionals involved in the lifecycle of machine learning models.
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