Automated Machine Learning

Discover the revolutionary world of Automated Machine Learning in this essential book by Frank Hutter, published by Springer Nature Switzerland AG in 2019. Spanning 219 pages, this open access title provides a comprehensive overview of general methods in AutoML. It not only delves into the theoretical aspects but also collects detailed descriptions of existing systems that utilize these innovative methods. Furthermore, the book discusses the inaugural series of international challenges faced by AutoML systems, making it a valuable resource for both researchers and practitioners in the field. Whether you're a seasoned expert or just beginning your journey in machine learning, this book offers insights that will enhance your understanding and application of automated techniques. Don't miss out on this opportunity to elevate your knowledge in one of the most exciting areas of technology today.