Feature Engineering – David Epstein ODSC Boston 2015

One of the most important, yet often overlooked, aspects of predictive modeling is the transformation of data to create model inputs, better known as feature engineering (FE). This talk will go into the theoretical background behind FE, showing how it leverages existing data to produce better modeling results. It will then detail some important FE techniques that should be in every data scientist’s tool kit.

Presenter Bio

Senior Data scientist at Socure, doing identity verification using online and social media data.