Remove Big Data Remove Categorization Remove Data Drift
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Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs

AWS Machine Learning Blog

For instance, a notebook that monitors for model data drift should have a pre-step that allows extract, transform, and load (ETL) and processing of new data and a post-step of model refresh and training in case a significant drift is noticed.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Compute, big data, large commoditized models—all important stages. But now we’re entering a period where data investments have massive returns from all performance as well as business impact. How are you looking at model evaluation for cases where data adapts rapidly? KM: Final question before we end the session.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Compute, big data, large commoditized models—all important stages. But now we’re entering a period where data investments have massive returns from all performance as well as business impact. How are you looking at model evaluation for cases where data adapts rapidly? KM: Final question before we end the session.