MLOps (Machine Learning Operations) is the practice of automating and managing the full lifecycle of machine learning models, from development and training to deployment, monitoring, and updates. It combines machine learning, data engineering, and DevOps practices to ensure models are scalable, reliable, and perform well in production.


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