Episode
MLOps for managing the end to end life cycle with Azure Machine Learning service
MLOps (also known as DevOps for machine learning) is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production machine learning (ML) lifecycle. Azure Machine Learning service's MLOps capabilities provide customers with asset management and orchestration services which enable effective ML lifecycle management.
Learn more about MLOps: https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-model-management-and-deployment
MLOps (also known as DevOps for machine learning) is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production machine learning (ML) lifecycle. Azure Machine Learning service's MLOps capabilities provide customers with asset management and orchestration services which enable effective ML lifecycle management.
Learn more about MLOps: https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-model-management-and-deployment
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