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The trick for me is to learn a good foundation in statistics but to know that you don't need to learn everything.

A friend who founded a startup that makes heavy uses of statistics likes to trawl academic papers for algorithms that help his business.

Think of research papers a bit like a well documented private object/library -- you know what data it accepts, you know what it returns, but you don't need to know how it works.

Just make sure your code reflects exactly the formulae/model documented in the paper and you're good.



And the assumptions in the paper.




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