Automated Machine Learning (AutoML) has become a topic of considerable interest over the past year. A KDnuggets blog competition focused on this topic, resulting in a handful of interesting ideas and projects. Several AutoML tools have been generating notable interest and gaining respect and notoriety in this time frame as well.

This post will provide a brief explanation of AutoML, argue for its justification and adoption, present a pair of contemporary tools for its pursuit, and discuss AutoML's anticipated future and direction.

ŷhat → The Current State of Automated Machine Learning