Quick Overview: Channel's GitHub page hosting Jupyter Notebook: In this video, we explore the concept of ... Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ... In deep learning and computer vision, it is common for data to present certain. As we begin deploying machine learning models in ...
Uncertainty Quantification 1 Enter Conformal - Detailed Overview & Context
Channel's GitHub page hosting Jupyter Notebook: In this video, we explore the concept of ... Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ... In deep learning and computer vision, it is common for data to present certain. As we begin deploying machine learning models in ... Recorded at PyCon DE & PyData 2025, April 23, 2025 As we begin deploying machine learning models in consequential settings like medical diagnostics or self-driving vehicles, ... Conformal Prediction on Quantifying Uncertainty of Dynamic Systems
Predictions from modeling and simulation (M&S) are increasingly relied upon to inform critical decision making in a variety of ... In this video, we dive deep into the world of So what is the errorbar for a simulation? First: check out ASME Standards VV20 (for CFD, Heat Transfer), and VV10 (for Solid ... Okay so now I will talk about the main part of the talk where I will talk about practical methods for SPEAKER: Dr. Michael Allgöwer, Management Consultant Data Science & AI, b.telligent
