What are adaptive algorithms?

Adaptive algorithms are like smart helpers that get better at their jobs as they go along.

Imagine you're learning to ride a bike. At first, you wobble a lot and need help balancing. But the more you practice, the steadier you become, you learn from each fall and adjust your movements. That's kind of what adaptive algorithms do! They start with a basic idea of how things work, and then they adjust based on what happens next.

Think of it like a game of catch. At first, you might throw the ball too hard or too soft. But after a few throws, you get a feel for how to throw just right, you're adapting! Adaptive algorithms use this same idea: they keep changing their approach based on what they see and learn.

A music app that suggests songs is using an adaptive algorithm. It starts with some guesses about what you might like, but every time you listen to a song or skip one, it learns more about your taste, just like how you get better at catching the ball each time you play!