ELI5: why does machine learning need data

Machine learning needs data because it learns from examples, just like you learn from your experiences.

Think of it like teaching a dog a new trick. You can't just tell the dog to "sit" and expect it to understand. You need to:

• Show the dog what "sit" means by physically pushing its bottom down.
• Give the dog a treat every time it sits correctly.
• Repeat this process many times.

Machine learning is similar. Imagine a computer trying to learn how to recognize pictures of cats. You need to show it lots of pictures of cats (that's the data!).

• Some pictures might be of fluffy cats, some of skinny cats, some of black cats, and some of white cats.
• The computer looks at each picture and tries to find patterns: pointy ears, whiskers, a furry tail.
• The more cat pictures the computer sees, the better it gets at recognizing cats, even if it's a cat it has never seen before.

So, machine learning needs data to learn patterns, just like you need experiences to learn about the world! The more data, the better the machine can learn and make accurate predictions.