How Do Computers Learn from Mistakes?

Computers can learn from mistakes just like kids do when they try to ride a bike.

Imagine you're learning to ride a bike. Sometimes you fall down, but each time you get back up and try again, and soon you're riding smoothly! Computers work in a similar way using something called algorithms.

When a computer makes a mistake, it gets a little "nudge" that helps it improve. Think of it like getting a sticker for trying, the more mistakes it makes, the smarter it becomes. These nudges are tiny changes inside the computer’s brain, called neurons.

Just like you practice riding your bike every day, computers try many different answers to problems. Each time they get something wrong, they adjust their thinking a little bit, kind of like when you change your grip on the handlebars to ride better. After enough tries, the computer becomes really good at solving those problems!

That's how computers learn from mistakes, by trying, failing, and getting better each time!