In learning and AI, generalization is the ability to apply knowledge from specific examples to new, unseen situations. It prevents overfitting, ensuring models don't just memorize data but grasp underlying patterns. This principle is vital for machine learning engineers, educators, and psychologists, enabling robust predictions, effective teaching, and adaptive behavior in real-world scenarios.
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