Supervised learning is a machine learning method where the model is trained with labeled examples – each input is paired with the correct output. The model learns the relationship and can then correctly classify new, unseen inputs. Classic applications are image recognition (image → "cat") or spam detection (email → "spam"/"not spam").
In short
What is supervised learning?
Supervised learning is an ML method where the model is trained with labeled examples – each input is paired with the correct output. It learns the relationship and can then correctly classify new inputs. Applications include image recognition or spam detection.
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