I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

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 ...

Abstract: With the rapid proliferation of telecommunication and RF applications, so, too, has demand grown for tools to design and characterize these devices. scikit-rf is a Python package designed to ...