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 ...

Imager is a specialized utility developed to automate the manual bottleneck of gathering image datasets. Unlike traditional scraping methods that struggle with JavaScript-heavy sites, Imager leverages ...