Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...

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 project implements a simplified banking system using Python object-oriented programming (OOP) principles, with a focus on modular design, class hierarchies, and UML modeling. The system models ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

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Learn how to bring your architectural ideas to life with Photoshop sketching. This step-by-step tutorial covers essential techniques for concept design, from composition and linework to shading and ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of complex data ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

There's a new hot buzz in the world of coding called "vibe coding." It floated into the collective zeitgeist in early February, courtesy of a post on Twitter/X by Andrej Karpathy. Karpathy is no ...