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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 ...

Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...

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 ...

A new malicious package discovered in the Python Package Index (PyPI) has been found to impersonate a popular library for symbolic mathematics to deploy malicious payloads, including a cryptocurrency ...

An implementation of a symbolic toolbox using SymPy. The dependencies are Octave, Python, and SymPy. Consult the SymPy website for details on how to install SymPy. Start Octave. At Octave prompt type ...