June 22, 2023, 1:38 p.m. | Andrew Charabin

Towards Data Science - Medium towardsdatascience.com

A simple, flexible alternative for sustainable ML solutions

Image via VectorStock under license to Andrew Charabin

Automating the retraining and deployment of production machine learning solutions is a pivotal step to ensure models account for covariate shift while limiting error-prone and unnecessary human effort.

For models deployed using the AWS stack and particularly SageMaker, AWS offers a standard CI/CD solution using SageMaker Pipelines to automate retraining/deployment, and the SageMaker Model Registry to track lineage of a model.

While the standard …

aws ci-cd-pipeline machine learning ml-pipeline sagemaker

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