Guys, what are the key differences between data mining and machine learning? Both deal with extracting meaning from data, but are their approaches different or the same? Are manual rules used, or are automatic models at play? Can you provide some detailed info?
What's the difference between data mining and machine learning?
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Data mining is like "digging" into data to find patterns, and machine learning uses algorithms that learn on their own from that data? I'm not clear if one depends on the other or if they're separate things.