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From the article: " In statistics, bad results can be wrong, and being right for bad reasons isn’t acceptable. In machine learning, bad results are wrong if the
by ur-whale 6y ago
From the article: " In statistics, bad results can be wrong, and being right for bad reasons isn’t acceptable. In machine learning, bad results are wrong if they catastrophically fail to predict the future, and nobody cares much how your crystal ball works, they only care that it works."
- NPMaxwell 6y agoIs that a typo? It makes more sense as "good results can be wrong, and being right for bad reasons isn't acceptable"