Uncertainty Quantification

Uncertainty quantification (UQ) in machine learning is the practice of measuring or estimating uncertainty in models. It is a set of tools to understand the limitations of models and predictions, and to make better decisions. UQ is a key component of trustworthy and interpretable machine learning.

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