Description: Bayesian Optimization and Data Science, Paperback by Archetti, Francesco; Candelieri, Antonio, ISBN 3030244938, ISBN-13 9783030244934, Like New Used, Free shipping in the US
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 BOs use in solving difficult nonlinear mixed integer problems.
Th 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.
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Book Title: Bayesian Optimization and Data Science
Number of Pages: Xiii, 126 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Probability & Statistics / General, Operations Research, Management Science
Publication Year: 2019
Illustrator: Yes
Genre: Mathematics, Business & Economics
Item Weight: 16 Oz
Item Length: 9.3 in
Author: Francesco Archetti, Antonio Candelieri
Item Width: 6.1 in
Book Series: Springerbriefs in Optimization Ser.
Format: Trade Paperback
