MLOps

1.  MLOps stands for Machine Learning Operations and is a set of practices that automate and streamline the entire machine learning (ML) model lifecycle, from development to deployment and monitoring in production. 
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3. Similar to DevOps, MLOps aims to create a reliable, scalable, and efficient process for developing, testing, and deploying ML models by fostering collaboration between data scientists, engineers, and operations professionals. 
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5. Key activities include data gathering, model training, deployment, continuous monitoring for issues like data drift, and model retraining to ensure ongoing accuracy and performance.