Don’t use deep learning your data isn’t that big · Simply Statistics

Don't use deep learning your data isn't that big

  • Don’t use deep learning your data isn’t that big

    The other day Brian was at a National Academies meeting and he gave one of his usual classic quotes:

    When I saw that quote I was reminded of the blog post Don’t use hadoop – your data isn’t that big.

  • Just as with Hadoop at the time that post was written – deep learning has achieved a level of mania and hype that means people are trying it for every problem.
  • The issue is that only a very few places actually have the data to do deep learning.
  • But I’ve always thought that the major advantage of using deep learning over simpler models is that if you have a massive amount of data you can fit a massive number of parameters.
  • If you are Google, Amazon, or Facebook and have near infinite data it makes sense to deep learn.

Best quote from NAS DS Round Table: “I mean, do we need deep learning to analyze 30 subjects?” – B Caffo @simplystats #datascienceinreallife
Continue reading “Don’t use deep learning your data isn’t that big · Simply Statistics”