Synthetic Data and Generative AI (Record no. 1431718)

MARC details
000 -LEADER
fixed length control field 01510nam a2200253 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250613150741.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250613b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780443218576
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Transcribing agency CSL
041 ## - LANGUAGE CODE
Source of code eng
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number D65,8(B) R4
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Granville, Vincent
Relator term author.
9 (RLIN) 479071
245 ## - TITLE STATEMENT
Title Synthetic Data and Generative AI
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge:
Name of publisher, distributor, etc. Morgan Kaufmann,
Date of publication, distribution, etc. 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xii, 396p.
Other physical details : col. ill.
Dimensions ; 23 cm
500 ## - GENERAL NOTE
General note Includes Glossary and index
520 ## - SUMMARY, ETC.
Summary, etc. Synthetic Data and Generative AI covers the foundations of machine learning with modern approaches to solving complex problems and the systematic generation and use of synthetic data. Emphasis is on scalability, automation, testing, optimizing, and interpretability (explainable AI). For instance, regression techniques – including logistic and Lasso – are presented as a single method without using advanced linear algebra. Confidence regions and prediction intervals are built using parametric bootstrap without statistical models or probability distributions. Models (including generative models and mixtures) are mostly used to create rich synthetic data to test and benchmark various methods.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
9 (RLIN) 480917
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Generative adversarial networks (GANs)
9 (RLIN) 812849
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer simulation
9 (RLIN) 713688
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textual
Classification part D65,8(B) R4
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 Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2024-11-13 Ashutosh technical book   D65,8(B) R4 SL1656083 2025-06-13 2025-06-13 Textual
Copyright @ Delhi University Library System