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

We connected with Florian Winkler to learn how he created such an elegant and informative map that invites exploration.

This is intended to be a pure Python implementation of something like python-magic. This means it should work on all platforms that can run Python as it does not require external binaries like ...

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 ...

Solidworks and Inventor receive a lot of attention, and so we tend to forget the surprising number of other MCAD programs that exist. They are not fly-by-nighters – many have been around for more than ...