Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Bayesian Optimization and Data Science

Name: Bayesian Optimization and Data Science
Brand: Springer
SKU: 41000608
Price: 26683 HUF
Availability: InStock
Author: Francesco Archetti
ISBN: 9783030244941

Francesco Archetti

Antonio Candelieri

Language

English

E-book Adobe ePub DRM

Libristo code: 41000608

Publishers Springer, September 2019

This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on... Full description

Libristo code: 41000608

179 b

26 683 Ft

In stock Immediate digital delivery

Customers also purchased

Ocenka jeffektivnosti deyatel'nosti torgovyh predpriyatij Alexandr Gavrilov

Paperback

33 338 Ft

This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization. It also analyzes the software resources available for BO and a few selected application areas. Some areas for which new results are shown include constrained optimization, safe optimization, and applied mathematics, specifically BO's use in solving difficult nonlinear mixed integer problems. The book will help bring readers to a full understanding of the basic Bayesian Optimization framework and gain an appreciation of its potential for emerging application areas. It will be of particular interest to the data science, computer science, optimization, and engineering communities.