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

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 ...

At the present time one of the tasks of modern agricultural industry consists in obtaining the ecologically safe and clean products. Contamination of soils with heavy metals due to an anthropogenic ...

Abstract: Single photon avalanche diodes (SPAD) can be effectively quenched by using a large quench resistance connected in series. However, this method results in a longer recovery time. To address ...