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

Throughout this lab, you will see a Panopto icon at the start of select sections. This icon indicates there is lecture/live coding asynchronous content that accompanies this section of the lab. You ...

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.

PyInquirer is a great Python port of Inquirer.js, however, the project is slowly reaching to an unmaintained state with various issues left behind and no intention to implement more feature requests.