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To clarify, algorithms are sequences of directives that guide computers to tackle particular tasks. Neural networks are computing frameworks patterned after the human mind, aimed at detecting regularities and gaining knowledge from information. Machine learning involves techniques where systems enhance their outcomes through exposure to data, without needing direct coding.
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