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GreatBigBagOfNope t1_iyk3y0g wrote

Yes, DL is a sophisticated tool for the most intractable of tasks, and for most problems is like using the Death Star to crack a nut. This is well known and should just be a normal known thing any analyst of any flavour should have in mind - if you're using DL, especially anything not really big or that isn't natural language or image related, it should be for a good reason, because either a random forest, a GAM, or an autofit ARIMA will get you 80+% of the way there 80+% of the time for tabular data. Not everything needs to start with the biggest guns.

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TrueBirch t1_iymerps wrote

>like using the Death Star to crack a nut

Or a sledgehammer.

I completely agree with you. I instruct the juniors where I work to start with the most basic possible statistical tests and add complexity only when necessary. A good-enough linear regression is easier to implement, replicate, and understand than a slightly-improved DL model.

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