PAPIs Latam 2019

Validation in the real world goes way further than a random split or the K-fold. When the validation performance doesn't match the production one, there are many possible causes and a good one is that the validation was done wrongly.

On this talk, a general idea of what validation means is framed. It includes some specific cases and how to design a validation schema for them. In the end, it's expected that the audience is able to identify everything that is important when validating and how to come up with the right strategy to validate any new model they face in the Wild.