What are machine learning techniques?

Machine learning is when computers learn from examples, just like you learn new things by trying and making mistakes.

Imagine you're learning to tell the difference between apples and oranges. At first, you might not know what makes one an apple and the other an orange. But as you see more of them, you start to notice patterns, maybe apples are usually red, and oranges are usually orange. You get better at telling them apart just by looking.

Machine learning works in a similar way. A computer is given examples (like pictures of apples and oranges), and it tries to find patterns on its own. Then, when it sees something new, it can guess what it is based on those patterns, like you guessing whether a fruit is an apple or orange just by looking at it.

At first, the computer might not know anything. It’s like starting with no idea of what apples or oranges look like. But as it sees more examples, it gets smarter and makes better guesses.

Sometimes, you help the computer learn faster, maybe by telling it which fruits are apples and which are oranges. Other times, it figures things out all on its own, just by looking at lots of examples.