I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

DISCLAIMER: This project has nothing to do with the original authors. DO NOT contact them about issues with this port, they will have no idea what you are even talking about. I do not claim any part ...

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.