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What is the difference between data mining and machine learning?

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Data mining is the basic process of getting information from unstructured data without any patterns assigned to them. Machine learning is the process which assigns algorithms and specifications in terms of programming to develop and design systems. These systems are meant to enhance learning and utilitarian purposes.

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Data mining can be described as the process in which the structured data tries to abstract knowledge or interesting unknown patterns. During this process, machine learning algorithms are used.

Machine learning represents the study, design, and development of the algorithms which provide the ability to the processors to learn without being explicitly programmed.

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