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April 16, 2026
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Introduction to Deep Evidential Regression for Uncertainty Quantification

Original Source

towards data science

by Benjamin Li
Machine learning models can be confident even when they shouldn't be. This article introduces Deep Evidential Regression (DER), a method that lets neural networks rapidly express what they don't know. The post Introduction to Deep Evidential Regression for Uncertainty Quantificat

Machine learning models can be confident even when they shouldn't be. This article introduces Deep Evidential Regression (DER), a method that lets neural networks rapidly express what they don't know. The post Introduction to Deep Evidential Regression for Uncertainty Quantification appeared first on Towards Data Science .

Tags:AIMachine LearningNeural Network

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