Decision-making, even for humans, is a complex process heavily influenced by intuition and an implicit understanding of uncertainty. This article delves into Evidential Deep Learning (EDL), a novel framework designed to quantify both epistemic and aleatoric uncertainty in machine learning models. Specifically, it focuses on Deep Evidential Regression (DER), as detailed in the seminal 2020 […]