Implement Bayesian inference to solve real-world statistics and data science problems. Articulate the logic of Bayesian inference and compare and contrast it with frequentist inference. Utilize ...

Bayesian graphical models provide a principled framework for representing complex dependency structures among multivariate variables by combining graph theory with probabilistic inference. In these ...

A new technical paper titled “Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks” was published by researchers at Université Grenoble Alpes, CEA, ...