Because it is a collection of academic papers, it lacks a cohesive tutorial-style narrative; there are no step-by-step business implementation guides. Frank Hutter Lars Kotthoff Joaquin Vanschoren Editors
This section covers the core algorithms that power automation.
One of the first systems to simultaneously select algorithms and hyperparameters. Download Book Automated Machine Learning pdf
Focuses on "learning to learn," where systems use past experience from other datasets to speed up new tasks.
Reviewers on Amazon and Apple Books note it is "rigorous and academic". It is best suited for researchers, PhD students, and advanced practitioners rather than beginners looking for a basic "how-to" guide. Because it is a collection of academic papers,
A pre-publication version of the foundational content is often available on arXiv . Deep Review: Key Takeaways
Discusses automating the design of complex deep learning architectures. 2. Systems (The "What") Focuses on "learning to learn," where systems use
It details the series, which evaluates how well these automated systems perform against human experts on "blind" datasets. Critical Reception