Recent Advances In Automated Machine Learning: 2nd Edition

This article discusses the recent advances in automated machine learning and its impact on deep learning. It highlights the need for automation in data exploration, feature selection, model selection, and evaluation, and explores strategies for maintaining multiple models with limited resources. The Special Issue invites submissions on cutting-edge research in this field.