Savitribai Phule Pune University, Pune

Jayakar Knowledge Resource Centre

Practicing trustworthy machine learning : (Record no. 429221)

MARC details
000 -LEADER
fixed length control field 02941cam a22004817a 4500
001 - CONTROL NUMBER
control field 23248697
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250306114240.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230728t20232023caua 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2023278332
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC307044
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020868348
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355422194 (pbk.)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)on1313074094
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Transcribing agency YDX
Modifying agency BDX
-- UKMGB
-- OCLCQ
-- GO9
-- OCLCF
-- DLC
042 ## - AUTHENTICATION CODE
Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .P78 2023
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
Item number PRU.Y
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pruksachatkun, Yada,
Relator term author.
9 (RLIN) 31806
245 10 - TITLE STATEMENT
Title Practicing trustworthy machine learning :
Remainder of title consistent, transparent, and fair AI pipelines /
Statement of responsibility, etc. by Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar.
246 3# - VARYING FORM OF TITLE
Title proper/short title Consistent, transparent, and fair artifical intelligence pipelines
250 ## - EDITION STATEMENT
Edition statement 1st ed.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture America;
-- Boston :
Name of producer, publisher, distributor, manufacturer O'Reilly,
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 xxiv, 274 p.
Other physical details illustrations ;
Dimensions 23 cm
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
500 ## - GENERAL NOTE
General note Includes index.
505 00 - FORMATTED CONTENTS NOTE
Title Preface --
-- Privacy --
-- Fairness and bias --
-- Model explainability and interpretability --
-- Robustness --
-- Secure and trustworthy data generation --
-- More state-of-the-art research questions --
-- From theory to practice --
-- An ecosystem of trust --
-- Synthetic data generation tools --
-- Other interpretability and explainability tool kits --
-- Index --
-- About the authors
520 ## - SUMMARY, ETC.
Summary, etc. With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. --
Assigning source Provided by publisher.
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 Artificial intelligence
General subdivision Philosophy.
9 (RLIN) 31807
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms.
9 (RLIN) 31808
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01004795
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name McAteer, Matthew,
Relator term author.
9 (RLIN) 31809
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Majumdar, Subhabrata,
Relator term author.
9 (RLIN) 31810
856 42 - ELECTRONIC LOCATION AND ACCESS
Public note Supplemental information and resources
Uniform Resource Identifier <a href="https://github.com/matthew-mcateer/practicing_trustworthy_machine_learning">https://github.com/matthew-mcateer/practicing_trustworthy_machine_learning</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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b cbc
c copycat
d 2
e ncip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Edition 23
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Public note
          Jayakar Knowledge Resource Centre Jayakar Knowledge Resource Centre 06/03/2025 Universal Book Service, 162/24 / 6-11-2024 519709   006.31 PRU.Y 519709 06/03/2025 1200.00 06/03/2025 Books 1200.00 Rupees

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