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Production ML systems | Machine Learning | Google for Developers
https://developers.google.com/machine-learning/crash-course/production-ml-systems
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This course module teaches key considerations and best practices for putting an ML model into production, including static vs. dynamic training, static vs. dynamic inference, transforming data, and deployment testing and monitoring.
