What is Machine learning?

Machine learning is when computers learn from examples, just like you do when you practice something new.

Imagine you're learning to tell apart apples and oranges. At first, you might not know the difference, but every time you see one, you get a little better at it. That’s how machine learning works, computers look at lots of examples and learn patterns from them so they can make good guesses about new things.

Think of a computer like your brain when you're learning to ride a bike. At first, you wobble a lot, but each time you fall off, you learn something new. Soon, you’re riding smoothly without even thinking about it.

Machine learning is similar, the computer tries different ways to solve a problem, and every time it gets it wrong, it adjusts a little bit, just like you adjust your balance when you're learning to ride.

Imagine a robot that helps sort toys in a toy store. At first, it might mix up cars and blocks, but as it sees more examples of each toy, it gets better at sorting them out. That’s machine learning, the robot learns from its mistakes and becomes smarter over time.