Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learn how to visualize electric fields of parallel plates using Python. This step-by-step tutorial shows how to simulate field lines and understand electric field patterns—perfect for students, ...

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: Linear systems involved in engineering and scientific calculations can be more easily analyzed using similarity transformation. However, understanding the numerous abstract linear algebra ...

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 ...