Practicing Trustworthy Machine Learning (Record no. 45806)

MARC details
000 -LEADER
fixed length control field 01230 a2200169 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355422194
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 PRU
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pruksachatkun, Yada
245 ## - TITLE STATEMENT
Title Practicing Trustworthy Machine Learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Shroff Publishers & Distributors Pvt. Ltd.
Place of publication, distribution, etc Mumbai
Date of publication, distribution, etc 2023
300 ## - PHYSICAL DESCRIPTION
Extent 274
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.<br/><br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mcateer,Matthew
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Majumdar, Subhabrata
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.