AWS announces SageMaker Clarify to help reduce bias in machine learning models – TechCrunch

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As companies rely increasingly on machine learning models to run their businesses, it's imperative to include anti-bias measures to ensure these models are not making false or misleading assumptions. Today at AWS re:Invent, AWS introduced Amazon SageMaker Clarify to help reduce bias in machine learning models. "We are launching Amazon SageMaker Clarify. And what that does is it allows you to have insight into your data and models throughout your machine learning lifecycle," Bratin Saha, Amazon VP and general manager of machine learning told TechCrunch. He says that it is designed to analyze the data for bias before you start data prep, so you can find these kinds of problems before you even start building your model.

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