The Role of Assumptions in Machine Learning and Statistics: Don’t Drink the Koolaid!
نویسنده
چکیده
The problem is that when we prove theorems about our methods, we make all kinds of assumptions. The assumptions are often highly implausible. The practitioners use the method and they have a false sense of security since some theoretician has proved that works. The theoretician is too detached from real data analysis to realize that his assumptions are bogus. The practitioner does not have the time or background to look closely and see that the assumptions are bogus.
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