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There's a very neat and often forgotten piece of math in learning, VC dimension (unrelated to venture capital): https://en.m.wikipedia.org/wiki/Vapnik–Chervone
by YjSe2GMQ 8y ago
There's a very neat and often forgotten piece of math in learning, VC dimension (unrelated to venture capital):
https://en.m.wikipedia.org/wiki/Vapnik–Chervonenkis_dimension https://en.m.wikipedia.org/wiki/Vapnik–Chervonenkis_dimensio...
Also, the reason why black box methods are such a big deal now is precisely because controlled/engineered methods turned out to be inferior (obvious example: image recognition; look no further than into the story of the dropout method and Alex Krizhevsky).
Edit: s/basically forgotten/often forgotten/ in the first sentence.
- selimthegrim 8y agoIt's not very forgotten if it's in the Learning from Data course, to say the least
- ginnungagap 8y agoThere are some good combinatorics notes by Chernikov[0, pdf file] talking about VC theory if anyone is interested in learning more [0] http://www.math.ucla.edu/~chernikov/teaching/Combinatorics285N/CombinatoricsNotes.pdf http://www.math.ucla.edu/~chernikov/teaching/Combinatorics28...