Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Learn how to simulate Faraday’s Law in electrodynamics using Python (Part 2)! In this video, we continue our step-by-step tutorial on modeling electromagnetic induction, showing how changing magnetic ...

Take your physics and coding skills to the next level with **“Learn To Calculate Launch Angles In Projectile Motion Using Python.”** This tutorial combines the fundamentals of projectile motion with ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

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

In celebration of Mayor Angelo Alonte’s 100th Day in Office, the Biñan City Studies Center officially reopened. The shared advocacy for education of Mayor Alonte and Congressman Atty. Arman Dimaguila ...

This repository contains a Python tutorial for using the ECCO Central Production version 4 ocean and sea-ice state estimate. Directories within the repository include the (tutorial documentation) and ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.