Abstract: Scatter-plot visualisation techniques are useful for analysing the correlations of variables on the axes as well as revealing patterns or abnormality in multidimensional data sets. However, ...

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 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 ...

Version 3.2.0 - A Python-based tool for analyzing noise in lamp data according to ASTM standards. This release adds macOS/Linux helpers, enforces wheel-only installs, and keeps the same GUI/reporting ...

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 software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...