Let’s get started with perhaps the most fundamental mathematical object, the set.
In math, we often talk about collections of things. A set is just that: a collection of things.
The elements of a set could be anything: numbers, equations, lines, shapes, fruit or any other thing you can dream up. Let’s be a little more specific and give a more precise definition of a set.
Alan Turing, a pioneering figure in the world of Computer Science, is often celebrated for his work on breaking the Enigma code during World War II. However, one of his lesser-known achievements is creating one of the first chess algorithms — a small yet significant early step in the development of artificial intelligence systems.
Luckily, studying for a degree in mathematics is very different from high school.
Math class didn’t exactly get the best reputation in school — and I can see why. It tells students to learn about seemingly pointless techniques and memorise different formulas that 99% of them will never use again… unless they go on to become math teachers.
Things change, however, when you decide to study maths at a higher level.
Strava offers a powerful Web API that allows users to access and analyse data from their activities. Whether you’re a fitness enthusiast looking to track your progress or a developer interested in building a simple app that leverages activity data, the Strava API provides a wealth of possibilities.
In the ever-expanding field of artificial intelligence, some of the most fascinating advancements come from mimicking the natural world. One such breakthrough is the Genetic Algorithm, a powerful machine learning technique inspired by Charles Darwin’s theory of natural selection. Just as organisms evolve over time, honing their adaptations to thrive in their environments, Genetic Algorithms evolve solutions to complex problems, becoming increasingly effective with each iteration.
