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As a data scientist I interpret this as : if you can do it in SQL, do it in SQL. Once you really can't improve your, say, recommendation engine with SQL move to
by toto444 6y ago
As a data scientist I interpret this as : if you can do it in SQL, do it in SQL. Once you really can't improve your, say, recommendation engine with SQL move to ML/DL.
And sometimes it is better not to know anything about deep learning because the tech debt is not worth it it the medium term.