Bayesian Optimization

Discover the power of Bayesian optimization with the insightful book Bayesian Optimization by Roman Garnett, published by Cambridge University Press in 2023. This comprehensive hardback edition spans 358 pages and serves as a vital resource for graduate students, researchers in machine learning and statistics, and practitioners from various fields.

Bayesian optimization is a proven methodology for optimizing expensive objective functions, making it invaluable in the sciences, engineering, and beyond. This self-contained text equips readers with the necessary tools and knowledge to effectively implement Bayesian optimization techniques. Whether you are looking to enhance your research or improve practical applications, this book is designed to guide you every step of the way. Unlock the potential of Bayesian optimization and elevate your work to new heights with this essential addition to your library.