Saturday, April 16, 2011

What does it take to be a data scientist?

Conway on what it takes to be a data scientist (@ ZIA, ht: Mike B).


The full article is here. It's short and sweet, and offers a nice counterpoint to some of the claims made by people with a more computer-science-centric view of the world. Turns out that modeling assumptions (i.e. math and statistics) and theory (i.e. substantive expertise) matter. You ignore them at your own risk.

PS: The title makes it sound like this is about U.S. intelligence, but almost all the points in the article apply to business and academia as well.

2 comments:

sai venkat said...

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