Re:Most companies developing AI capabilities have yet to gai...
by cultus on Tuesday October 20, 2020 @07:29PM
(#24843351)
Nonlinear regression is still linear regression with transformed features. Kernel regression, for example, just uses features generated from the data using a supplied kernel function/covariance function. DL just allows the features to be trained.
I think (particularly with DL) it would probably be more accurate to claim it boils down to nonlinear logistic regression rather than linear regression. To your point, both are relatively old techniques