What is Machine learning (ML)?

Machine learning is when computers learn from examples, just like how kids learn new things by trying and seeing what works.

Imagine you're playing a game where you have to guess which toy your friend likes most. At first, you might pick randomly, maybe a car, or a doll. But after a few tries, you start noticing patterns: when they smile, it's probably their favorite toy. Over time, you get better at guessing without even thinking about it.

Computers do something similar, but with numbers and data instead of toys. They look at many examples, like how people react to different things, and find hidden patterns that help them make good guesses or decisions later on.

Think of a computer as a student who studies for a test by looking at lots of practice problems. At first, they might get some answers wrong, but each time they see the correct answer, they learn and improve. After studying many examples, they can solve new problems all by themselves, just like you did with your friend's favorite toy!

This learning process is what makes computers smart and helpful in ways we use every day, from suggesting songs to predicting the weather.