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MLOps, short for Machine Learning Operations, is a set of practices and tools that combine machine learning (ML) and software engineering to automate and streamline the deployment, management, and monitoring of machine learning models in production environments. It aims to bridge the gap between data science and IT operations to ensure that machine learning models are effectively integrated into real-world applications.