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MLOps (Machine Learning Operations) is a set of practices, principles, and cultural shifts designed to unify machine learning application development with system deployment and operations. It provides a framework for automating the end-to-end lifecycle of machine learning models, including data preparation, training, testing, deployment, monitoring, and retraining.