Machine learning for civil & environmental engineers : (Record no. 613537)

000 -LEADER
fixed length control field 02875cam a22004338i 4500
001 - CONTROL NUMBER
control field 23117466
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250414094555.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230125t20232023nju ob 001 0 eng c
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2023003263
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119897620
Qualifying information (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119897606
Qualifying information (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23/eng20230506
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Naser, M. Z.,
Relator term author.
9 (RLIN) 128629
245 10 - TITLE STATEMENT
Title Machine learning for civil & environmental engineers :
Remainder of title a practical approach to data-driven analysis, explainability, and causality /
Statement of responsibility, etc. M. Z. Naser.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2305
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer Wiley,
Date of production, publication, distribution, manufacture, or copyright notice [2023]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2023
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Synopsis: The theme of this textbook revolves around how machine learning (ML) can help civil and environmental engineers transform their domain. This textbook hopes to deliver the knowledge and information necessary to educate engineering students and practitioners on the principles of ML and how to integrate these into our field. This textbook is about navigating the realm of data-driven ML, explainable ML, and causal ML from the context of education, research, and practice. In hindsight, this textbook augments ML into the heart of engineering. Together, we will go over the big ideas behind ML. We will ask and answer questions such as, what is ML? Why is ML needed? How does ML differ from statistics, physical testing, and numerical simulation? Can we trust ML? And how can we benefit from ML, adapt to it, adopt it, wield it, and leverage it to overcome many, many of the problems that we may face? This book is also about showing you, my dear reader, how to amplify your engineering knowledge with a new tool. A tool that is yet to be formally taught in our curriculum. A tool that many civil and environmental engineering departments and schools may not fully appreciate ; yet are eager to know more about!"--
Assigning source Provided by publisher.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record and CIP data provided by publisher; resource not viewed.
590 ## - LOCAL NOTE (RLIN)
Linkage (RLIN) .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Civil engineering
General subdivision Data processing.
9 (RLIN) 128630
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Environmental engineering
General subdivision Data processing.
9 (RLIN) 128631
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element John Wiley & Sons,
Relator term publisher.
9 (RLIN) 96141
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Naser, M. Z.
Title Machine learning for civil & environmental engineers
Place, publisher, and date of publication Hoboken, New Jersey : Wiley, [2023]
International Standard Book Number 9781119897606
Record control number (DLC) 2023003262
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          School of Civil and Environmental Engineering (SCEE) School of Civil and Environmental Engineering (SCEE) 04/14/2025   006.31 NIT-13768 04/14/2025 04/14/2025 Book
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