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Getting Started with Amazon SageMaker Studio
book

Getting Started with Amazon SageMaker Studio

by Michael Hsieh
March 2022
Beginner to intermediate content levelBeginner to intermediate
326 pages
6h 49m
English
Packt Publishing
Content preview from Getting Started with Amazon SageMaker Studio

Chapter 6: Detecting ML Bias and Explaining Models with SageMaker Clarify

Machine learning (ML) models are increasingly being used to help make business decisions across industries, such as in financial services, healthcare, education, and human resources (HR), thanks to the automation ML provides, with improved accuracy over humans. However, ML models are never perfect. They can make poor decisions—even unfair ones if not trained and evaluated carefully. An ML model can be biased in a way that hurts disadvantaged groups. Having an ability to understand bias in data and ML models during the ML life cycle is critical for creating a socially fair ML model. SageMaker Clarify computes ML biases in datasets and in ML models to help you gain an understanding ...

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Publisher Resources

ISBN: 9781801070157Supplemental Content