Bayesian Optimization: Theory and Practice Using
Python 1st Edition Peng Liu download
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practice-using-python-1st-edition-peng-liu/
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,
, Bayesian Optimization
Theory and Practice Using Python
Peng Liu
, Bayesian Optimization: Theory and Practice Using Python
Peng Liu
Singapore, Singapore
ISBN-13 (pbk): 978-1-4842-9062-0 ISBN-13 (electronic): 978-1-4842-9063-7
https://doi.org/10.1007/978-1-4842-9063-7
Copyright © 2023 by Peng Liu
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the
material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now
known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with
every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an
editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the
trademark.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not
identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to
proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of publication,
neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or
omissions that may be made. The publisher makes no warranty, express or implied, with respect to the
material contained herein.
Managing Director, Apress Media LLC: Welmoed Spahr
Acquisitions Editor: Celestin Suresh John
Development Editor: Laura Berendson
Coordinating Editor: Mark Powers
Cover designed by eStudioCalamar
Cover image by Luemen Rutkowski on Unsplash (www.unsplash.com)
Distributed to the book trade worldwide by Apress Media, LLC, 1 New York Plaza, New York, NY 10004,
U.S.A. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail , or visit
www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer
Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.
For information on translations, please e-mail ; for reprint,
paperback, or audio rights, please e-mail .
Apress titles may be purchased in bulk for academic, corporate, or promotional use. eBook versions and
licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales
web page at http://www.apress.com/bulk-sales.
Any source code or other supplementary material referenced by the author in this book is available to
readers on GitHub (https://github.com/Apress). For more detailed information, please visit http://www.
apress.com/source-code.
Printed on acid-free paper
Python 1st Edition Peng Liu download
https://ebookmeta.com/product/bayesian-optimization-theory-and-
practice-using-python-1st-edition-peng-liu/
Download full version ebook from https://ebookmeta.com
,
, Bayesian Optimization
Theory and Practice Using Python
Peng Liu
, Bayesian Optimization: Theory and Practice Using Python
Peng Liu
Singapore, Singapore
ISBN-13 (pbk): 978-1-4842-9062-0 ISBN-13 (electronic): 978-1-4842-9063-7
https://doi.org/10.1007/978-1-4842-9063-7
Copyright © 2023 by Peng Liu
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the
material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now
known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with
every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an
editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the
trademark.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not
identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to
proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of publication,
neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or
omissions that may be made. The publisher makes no warranty, express or implied, with respect to the
material contained herein.
Managing Director, Apress Media LLC: Welmoed Spahr
Acquisitions Editor: Celestin Suresh John
Development Editor: Laura Berendson
Coordinating Editor: Mark Powers
Cover designed by eStudioCalamar
Cover image by Luemen Rutkowski on Unsplash (www.unsplash.com)
Distributed to the book trade worldwide by Apress Media, LLC, 1 New York Plaza, New York, NY 10004,
U.S.A. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail , or visit
www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer
Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.
For information on translations, please e-mail ; for reprint,
paperback, or audio rights, please e-mail .
Apress titles may be purchased in bulk for academic, corporate, or promotional use. eBook versions and
licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales
web page at http://www.apress.com/bulk-sales.
Any source code or other supplementary material referenced by the author in this book is available to
readers on GitHub (https://github.com/Apress). For more detailed information, please visit http://www.
apress.com/source-code.
Printed on acid-free paper
