- 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
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