Abstract: This article provides an introduction to the theory of mechanism design and its application to engineering problems. Our aim is to provide the fundamental principles of mechanism design for ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
This is a fork authored by the OpenMetadata community, where we are adding sqlfluff as a parsing backend instead of sqlparse. Never get the hang of a SQL parser? SQLLineage comes to the rescue. Given ...
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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