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AWS Certified AI Practitioner · AWS
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A. Amazon SageMaker Clarify
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Sagemaker Clarify. But here's how you think about it. Think of a dataset as a big Excel sheet. It's made up of columns and rows. A model uses the all but one of the columns to explain the value in the last column. So if you want clarity on how it works, you might need to understand how the columns predict the last column (model explainability / feature attribution), and also if the rows have enough data for each subgroup (fairness / bias). tl;dr - Sagemaker Clarify will clarify how the columns and rows fit the model.