Remove synthetic-data-vault
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Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning

AWS Machine Learning

For example, Fairness – The aim here is to encourage models to mitigate bias in model outcomes between certain sub-groups in the data, especially when humans are subject to algorithmic decisions. Amazon SageMaker Clarify can detect potential bias during data preparation, after model training, and in your deployed model.

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