Imagine a kid who learns to tell the difference between dogs and cats by looking at lots of pictures. A computer does something similar when it learns from data. It starts with no idea what a dog or cat looks like, but after seeing many examples, it gets really good at telling them apart. The more pictures it sees, the better it becomes. That’s how computers learn, by practicing with lots of information.
Examples
- A computer sees many pictures of dogs and cats, and eventually it can tell them apart.
- You teach a robot to sort apples and oranges by showing it hundreds of examples.
- A music app learns your favorite songs by listening to what you play the most.
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See also
- How Does ‘Artificial Intelligence’ Learn from Data?
- How Does a Robot Learn to Walk on Its Own?
- How Do Robots Learn to Walk?
- How Does a Robot Learn from Experience?
- How Do Robots Know What to Do?
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