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Authors: Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng and Guangquan Zhang More on ... Speaker: Florian Wilhelm Track:PyData There is a strong need in Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a Speaker: Mahdi Consent, President, MLBoost Abstract: In today's high-stakes applications ranging from medical diagnostics to ... In the world of big data, when there's the need to estimate The Bayesian paradigm provides a coherent approach for

Presenter: James Warner (NASA Langley Research Center) Adopting

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Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions
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Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions

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In this SEI Podcast, Dr. Eric Heim, a senior

Uncertainty Quantification & Machine Learning
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Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting
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Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting

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Authors: Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng and Guangquan Zhang More on ...

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Last Updated: May 22, 2026

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