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Supervised Learning is a machine learning approach that trains models using labeled datasets to predict outputs for new data. It is commonly applied in classification and regression tasks, offering high accuracy but requiring large amounts of labeled data, which can be costly and time-consuming to obtain. Key applications include email spam detection, face recognition, and medical diagnosis.

Author

btsg732

Language

EN