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Machine Learning

1. Supervised Learning

The model is trained on labeled data — meaning each example comes with the correct answer. For example, showing a model thousands of emails labeled "spam" or "not spam" teaches it to classify new emails on its own.

  

the face of a woman with blue eyes and a circuit board

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