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

Approximate Computing (AxC) is being actively explored to meet the energy and performance requirements of resource-constrained embedded systems. Approximate arithmetic operators (AxOs), for instance, ...

A Python package for reformatting and accessing demand, solar generation and wind generation time series data used by the Australian Energy Market Operator (AEMO) in their Integrated System Plan (ISP) ...

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 ...