AWS Machine Learning Blog

NOVEMBER 29, 2023

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.

Data Drift 116

Data Drift BERT Data Scientist Python 116

Snorkel AI

MAY 12, 2023

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.

Machine Learning 52

Machine Learning Data Scientist Data Science ML 52

Snorkel AI

MAY 12, 2023

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.

Machine Learning 52

Machine Learning Data Scientist Data Science ML 52