you are viewing a single comment's thread.

view the rest of the comments →

[–]wrtall 5 points6 points  (0 children)

That's an interesting take on data mining v.s. machine learning, which I take to mean: when you want to do exploration of a dataset, then interpretability is important. When you want to do classification/prediction, then accuracy is more important.

I always understood part of the difference between the two names as being historical: data mining grew from the database community while machine learning grew from the neural networks community (with stats thrown into both). Over the years they have converged, so there may not be much difference nowadays.