Statistics and Machine learning differ in standards of evidence required to believe claims.
Statistics is more like the physical and mathematical sciences ("beyond a reasonable doubt") and ML is more like engineering ("preponderance of the evidence").
1. Does this seem right to you?
2. Is the approach in one of the fields clearly superior to the other when it comes to data science? Why?
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@kareemcarr
They are different tools for similar (but different) tasks, in my opinion.
