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 ...

The wrapt module provides a transparent object proxy for Python, which can be used as the basis for the construction of function wrappers and decorator functions. The wrapt module focuses very much on ...