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

This README file provides the description of the code and data used in my final year project. The content is sectioned into folders with corresponding names. Descriptions of the folders and their ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple ...

TWC Forum used vBulletin 4 software. We did, multiple times, try to upgrade to vB5, but it did not go through successfully. The URLs changed completely and that was bad! Moreover, support for ...