Supervised Learning
A machine learning method where a system learns from labeled examples to make predictions on new data.
In Plain English
Supervised learning is how most AI systems learn: you give them examples paired with correct answers, and they figure out the pattern. It's like teaching a child to identify dogs by showing them many pictures labeled 'dog' and 'not dog' until they recognize the pattern themselves. Once trained, the system can look at a new picture and predict whether it shows a dog. This method works well when you have plenty of labeled data and know what you're trying to predict.
💡Real-World Example
A bank uses supervised learning to detect fraud. They feed the system thousands of past transactions labeled as either 'legitimate' or 'fraudulent,' and the system learns which patterns signal fraud—like a purchase overseas five minutes after a local gas station charge. When a new transaction comes in, it can quickly flag suspicious ones.
Related Terms
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