Automated Machine Learning

This Open Access Book Presents The First Comprehensive Overview Of General Methods In Automated Machine Learning (automl), Collects Descriptions Of Existing Systems Based On These Methods, And Discusses The First Series Of International Challenges Of Automl Systems. The Recent Success Of Commercial Ml Applications And The Rapid Growth Of The Field Has Created A High Demand For Off-the-shelf Ml Methods That Can Be Easily And Without Expert Knowledge. However, Many Of The Recent Machine Learning Successes Crucially Rely On Human Experts, Who Manually Select Appropriate Ml Architectures (deep Learning Architectures Or More Traditional Ml Workflows) And Their Hyperparameters.