MLOps, short for Machine Learning Operations, is the practice of applying DevOps principles and practices to the development and deployment of machine learning models. MLOps involves the integration of machine learning pipelines, tools, and processes into the software development and delivery workflow, with the goal of improving the efficiency, speed, and reliability of machine learning model development and deployment.

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