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What is AI Learning Methods Explained about?

Learning in Artificial Intelligence (AI) involves systems improving performance based on experience, categorized into supervised, unsupervised, semi-supervised, and reinforcement learning. Rote learning is a basic method relying on memorization without understanding, while inductive learning generalizes from examples, and explanation-based learning focuses on understanding concepts deeply. Discovery and clustering are unsupervised techniques for uncovering patterns in data, and analogy-based learning draws

Author

sumaiya10601

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EN