AWS Certification Exam AI Practitioner (Practice Questions) set1 問題47

Question

I want to improve fairness by detecting and correcting biases hidden in the training data. Which lifecycle phase is most relevant to this purpose?

Accepted Answer

The analysis of biases and the implementation of mitigation measures are conducted during the bias detection and mitigation phase and improve the model's fairness.

AWS Certification Exam AI Practitioner (Practice Questions) set1

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