MLOps, short for Machine Learning Operations, is a set of practices that integrates machine learning development with IT operations. It focuses on automating and managing the end-to-end lifecycle of machine learning models, including data preparation, training, deployment, monitoring, and maintenance. MLOps aims to improve collaboration between data science and engineering teams, ensure model reproducibility, enable continuous integration and delivery (CI/CD), and maintain reliable model performance in production environments.

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