Conference paper

Uncertainty Quantification 360: A Hands-on Tutorial

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This tutorial presents an open source Python package ( named Uncertainty Quantification 360 (UQ360), a toolkit that provides a broad range of capabilities for quantifying, evaluating, improving, and communicating uncertainty in the AI application development lifecycle. We will first introduce the concepts in uncertainty quantification through an interactive experience ( followed by use cases with different quantification algorithms and evaluation metrics. The hands-on experience gained from tutorial will aid researchers and developers in producing and evaluating high-quality uncertainties from AI models in an efficient manner.