I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.

Abstract: Symbolic regression is a machine learning technique that can learn the equations governing data and thus has the potential to transform scientific discovery. However, symbolic regression is ...

You’re never too old to learn something new. People are losing their minds over how simple — yet tricky — an elementary school-level math equation posted on X (formerly Twitter) is. Over the weekend, ...

It's time to break out your number two pencil and mathematics skills to see if you can solve a math equation plaguing hundreds online. A simple math problem was recently shared on X by the account ...

This lesson explores important mathematical methods used in physics, including spherical coordinates, integral calculations, and practical examples using Python. A helpful guide for students learning ...

Maths and science GCSE students will not need to memorise formulae and equations for their exams until at least 2030, under new government plans. Ministers have asked the exams watchdog, Ofqual, to ...

Most of us have not tested our arithmetic skills since we were forced to in grade school, but some are reaching back into their memories to solve an easy math equation that has left social media users ...

Math isn’t just assignments and deadlines – it can be playful, creative and enjoyable as a puzzle or a game. That’s the spirit of what University of Virginia School of Data Science master’s student ...

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from water pressure to oxygen levels in human tissues. The trajectory of a storm ...

It’s happened to all of us: you find the perfect model for your needs — a bracket, a box, a cable clip, but it only comes in STL, and doesn’t quite fit. That problem will never happen if you’re using ...

Neural operators, as a powerful approximation to the non-linear operators between infinite-dimensional function spaces, have proved to be promising in accelerating the solution of partial differential ...