Abstract: Modern web applications are complex and used for tasks of primary importance, so their quality must be guaranteed at the highest levels. For this reason, testing techniques (e.g., end-to-end ...
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 ...
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