Learn How Amazon SageMaker Clarify Helps Detect Bias
AWS Machine Learning
SEPTEMBER 1, 2022
Bias detection in data and model outcomes is a fundamental requirement for building responsible artificial intelligence (AI) and machine learning (ML) models. For instance, an imbalanced sampling of the training data may result in a model that is less accurate for certain subsets of the data. Introduction to SageMaker Clarify. Use case and context.
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