Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention
AWS Machine Learning Blog
JANUARY 10, 2024
Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. The input to the training pipeline is the features dataset.
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