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

phue consists of a single file (phue.py) that you can put in your python search path or in site-packages (or dist-packages depending on the platform) You can also simply run it by putting it in the ...

Learn how to create contour plots in Python using NumPy’s meshgrid and Matplotlib. This step-by-step tutorial shows you how to generate grids, compute functions over them, and visualize data ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

Abstract: A compact introduction to the history and the canonical equations of electron emission is given for thermal emission (Richardson), field emission (Fowler-Nordheim), photoemission ...