MLOps
A set of practices that combines Machine Learning, DevOps, and data engineering to deploy and maintain ML systems in production reliably and efficiently.
Example
A company uses MLOps to automate the deployment and monitoring of machine learning models, ensuring they perform well in production and are updated as needed.
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