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What are the key differences between machine learning and deep learning?

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I’ve just started exploring AI and came across both machine learning and deep learning. While I understand that deep learning is a subset of machine learning, I’m not clear on their practical differences in terms of data requirements, algorithms, and use cases. Could someone explain the distinction with simple examples?

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