The Business Implications of Machine Learning

> Until we have better software we’re unable to build good models from small datasets. (And when I say “small” I mean, not ginormous.)

This is completely wrong - to build a useful model your model just needs to be able to distinguish between the signal and noise in the data. There are decreasing returns to scale with increasing size of your data, as percent statistical uncertainty goes like 1 / sqrt(N).