Supervised learning is a machine learning method where a model learns from examples that are already labeled with the correct answer. By studying many input-and-answer pairs, it learns to predict the right output for new, unseen data. For instance, showing a model thousands of emails labeled spam or not-spam teaches it to classify future emails. It is the most common form of machine learning.
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