Supervised Learning is a type of machine learning where the model is trained on labeled data. Here, the algorithm learns from input data that is tagged with the correct output, making the learning process more straightforward.
Applications of Supervised Learning
Common applications include classification tasks (where the output is categorical) and regression tasks (where the output is continuous). Examples include spam detection, price prediction, and risk assessment.
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