[fullshark]

The only real advantage linear modeling has is marginal effects can be determined easily. This matters for some business intelligence / decision making applications but if you want to build a model with as small errors as possible there's really no reason to restrict your model to be linear in the age of massive computing power.

[digitalzombie]

Well it's also easy to model. NN needs lots of data from what I've read.

Also the whole sport analytic prediction industry mostly uses linear regression... But next hype thing is medical data for them but they're super slow in adopting new thing. Industry seems boring if you're not into sport and into modeling in general not just linear regression.