Will AutoML Be the End of Data Scientists?

AutoML is exploding in popularity. Here’s how that changes things.

Photo by Alvaro Reyes on Unsplash

Background

In 2012, an arXiv report on Auto-WEKA was released, describing an automated approach to selecting a machine learning algorithm, features, and hyperparameters, in the hopes that it would “help non-expert users” in the field.