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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: This paper presents an adaptive command filtered control scheme using composite auxiliary signals for a class of uncertain strict-feedback nonlinear systems subject to input saturation. To ...