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Many real world problems that result in data are decidedly medium: small enough to fit in excel, large enough to be too big to comfortable handle in excel.

• ramraj07 4y ago
  Then these real world problems don’t actually warrant deep learning ? I thought the biggest leap in NN and deep learning in recent history was the realization that we need a ton of data to get maximal effectiveness from them; it now sounds counterproductive to forget this and cry they don’t work well with 10,000 rows.
  • aqsalose 4y ago
    > Then these real world problems don’t actually warrant deep learning ? It is an important lesson to be communicated. I'd like to present a conjecture: everyone thinks their data is big until they have worked on much larger dataset. ("We have 10k samples, it is quite big!" -> "We have 1m data records, is quite big!" -> "Our process outputs that much per day")
  • beckingz 4y ago
    That's right. Most problems don't warrant deep learning with the current state of the art.