What IS Feature Engineering?
What Is Feature Engineering?(And Why Do We Need To Automate it?) The past few years have seen the rapid rise in the adoption of Artificial Intelligence (AI) and Machine Learning (ML) for a multitude of commercial use-cases. Beyond the “cute” factor of AI that can pick a cat out of a photo array, AI and Machine learning are being deployed to model and predict lending risk, to understand and manage customer churn, provide product recommendations, help with programmatic advertising and much more. The challenge for the business community is that the underlying practice that is at the heart of AI and Machine Learning - data science - is rooted in a complex world of statistical analysis, data manipulation, programming and more. Most businesses don’t have enough data scientists - a fact illustrated by research in 2018 by LinkedIn that showed that there would be a shortfall of over 150,000 people…
