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: 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.

Photoshop CS5 tutorial showing how to create your own festive, custom, snowglobe filled with snowflakes around an object of your choice. Canada's Carney fires back at Trump after Davos speech With the ...

Photoshop CS5 tutorial showing how to make a sheet of crumpled paper from scratch using simple techniques. Why Congress can't claw back war powers from Trump Woman shot by Border Patrol during Oregon ...