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

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 ...

This repository contains the code and resources for a machine learning project aimed at predicting car prices based on various features. The project utilizes both Linear Regression and Random Forest ...

Photoshop 2017 tutorial showing how to create a close-up of Jupiter and one of its moons from scratch. Royalty-Free Music provided by high quality, copyright-free music for YouTube. Music track: "The ...