Overfitting is not always a problem

On how to actively overfit your models and get benefits out of it.

Santiago Valdarrama

--

Somebody one day compared overfitting with a shark waiting in the shadows… 😦

Of course, there is more than one way to build a good model. I’ve seen, however, how easy it is to make time disappear when we spend too much of it looking into the wrong rabbit holes.

Over the years, I’ve built my own rudimentary set of steps that I always follow…

--

--

Santiago Valdarrama

I build machine learning systems until 5 pm. Then I come here and tell you stories about them.