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

Abstract: The proliferation of machine-learning workloads has accelerated the demand for higher memory bandwidth in modern systems. HBM DRAM was developed to break through the system-performance limit ...

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 ...

mj-column elements are unexpectedly stacking (appearing as 100% width blocks) on desktop environments where they should be side-by-side. This is occurring even when the viewport is well above the ...