Machine learning for civil & environmental engineers (Record no. 25652)

MARC details
000 -LEADER
fixed length control field 01475nam a22003857a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317111310.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250314s2023 njua b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119897606
040 ## - CATALOGING SOURCE
Transcribing agency QCPL
Description conventions rda
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Naser, M. Z.
Relator term author
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
246 3# - VARYING FORM OF TITLE
Title proper/short title Machine learning for civil and environmental engineers
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer John Wiley & Sons,
Date of production, publication, distribution, manufacture, or copyright notice [2023]
300 ## - PHYSICAL DESCRIPTION
Extent xix, 588 pages :
Other physical details illustrations
336 ## - Content Type
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - Carrier Type
Source rdacarrier
Carrier type term volume
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Teaching methods for this textbook
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to machine learning
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Data and statistics
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Machine learning algorithms
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Performance fitness indicators and error metrics
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Coding-free and coding-based approaches to machine learning
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Explainability and interpretability
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Causal discovery and casual inference
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Final thoughts and future directions
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Civil engineering
General subdivision Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Environmental engineering
General subdivision Data processing
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Engineering
9 (RLIN) 10974
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Lost status Library use only Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Full call number Barcode Copy number Koha item type
  Room use only Reference Lagro Branch Lagro Branch Reference Section 12/12/2024 Purchased 7995.00 2024-07-02-2713-01-1122 R 006.31 N247m 2023 57745QC c. 2 Book
  Room use only Reference Main Library Main Library Reference Section 12/12/2024 Purchased 7995.00 2024-07-02-2712-01-1122 R 006.31 N247m 2023 57744QC c. 1 Book