Synthetic Data and Generative AI (Record no. 1431718)
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| 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 |
| 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 |
