Automated Machine Learning Methods, Systems, Challenges

by Frank Hutter (Editor), Lars Kotthoff (Editor), Joaquin Vanschoren (Editor)

Presents a tutorial-level overview of the methods underlying automatic machine learning, enabling readers to easily understand the key concepts behind AutoML
Offers a comprehensive collection of in-depth descriptions of AutoML systems, allowing readers to see how the key concepts have been implemented in the context of actual systems.

Discusses an independent international competition of many different systems, providing an independent evaluation of pros and cons of different AutoML approaches.

254 pages, ebook