[mellavora]

I have actually seen a fair amount of respect for classical stats on HN; perhaps it is due to my attention filter.

I'm thinking of some wonderful posts describing where/when/why linear regression can offer performance which is very close to the best from a NN-- except that regression models train much faster on much less data AND are interpretable.

Some discussion about how a NN works well for data where there is a lot of (statistical) structure to the data-- two close pixels in an image are likely to have very similar color/luminosity (and if not, the difference is important to the model, i.e. an 'edge'). But that NN don't do as well in a domain where the different features of the data don't have such relationships, say an econometric model or many biological models or ...