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

Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...

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: The Kasumi block cipher provides integrity and confidentiality services for 3G wireless networks, but it also forms a bottleneck due to its computational overhead. Especially in ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...