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All Blog Posts Tagged 'hoc' (2)

Ad hoc analysis: BI's fast food problem

(This article originally appeared on the…

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Added by Matthew Gierc on October 4, 2018 at 7:00am — No Comments

Limitations of Deep Learning and strategic observations

While Deep Learning has shown itself to be very powerful in applications, the underlying theory and mathematics behind it remains obscure and vague. Deep Learning works, but theoretically we do not understand much why it works. Some leading machine learning theorists like Vladimir Vapnik criticise Deep Learning for its ad-hoc approach that gives a strong flavour of brute force rather than technical sophistication. Deep Learning is not theory intensive; it is empirical based more (hence…

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Added by Syed Danish Ali on July 20, 2016 at 5:00am — 3 Comments

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