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</html><description>Description: Uncertainty propagation is the process of determining how uncertainty in input variables affects uncertainty in output variables. This concept is fundamental in various disciplines, including statistics, engineering, and artificial intelligence. In the context of machine learning and decision-making systems, uncertainty propagation allows models to understand and communicate confidence in their predictions. By analyzing how [&hellip;]</description></oembed>
