PAPIs 2018

ML is now a commercial and industrial technology, and while many successful algorithms exist there are still areas that require new developments. For instance, one issue with many ML methods is that they generate black-box models. Genetic Programming (GP) generates symbolic models an expressions, that can be used in many different domains. However, GP is not widely used by ML practitioners , it is still mostly an academic tool, but this is changing. This talk will present a short overview of how GP can be used to solve ML tasks, intended as a starting point for applied researchers and developers.