Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This repository contains a Python tutorial for using the ECCO Central Production version 4 ocean and sea-ice state estimate. Directories within the repository include ...

Learn how to make a delicious dessert in just one pan! This simple, fuss-free recipe is perfect for busy bakers and anyone craving a sweet treat without complicated steps. Impress your family and ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

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