Stephen E. Arnold: The Roots of Common Machine Learning Errors (Which Can Have Catastrophic Consequences)

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Stephen E. Arnold

The Roots of Common Machine Learning Errors

It is a big problem when faulty data analysis underpins big decisions or public opinion, and it is happening more often in the age of big data. Data Science Central outlines several “Common Errors in Machine Learning Due to Poor Statistics Knowledge.” Easy to make mistakes? Yep. Easy to manipulate outputs? Yep. We believe the obvious fix is to make math point and click—let developers decide for a clueless person.

Blogger Vincent Granville describes what he sees as the biggest problem:

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