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

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Simple login and registration system using Python with a MySQL database server. This is a beginner-friendly desktop application built on the Python platform using TKinter. Simple Login/Registration ...

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.

A third of U.S. adults are lonely, and a quarter lack social and emotional support—and research underscores that's just not healthy. "Humans are a social species. We are highly dependent on others ...