MARC details
| 000 -LEADER |
| fixed length control field |
01554nam a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250912120331.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
250912b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781718503762 |
| 040 ## - CATALOGING SOURCE |
| Language of cataloging |
eng |
| Transcribing agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
Q 325.5 |
| Item number |
R37 2024 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Raschka, Sebastian |
| 245 ## - TITLE STATEMENT |
| Title |
Machine learning Q and AI : |
| Remainder of title |
30 essential questions and answers on machine learning and AI/ |
| Statement of responsibility, etc. |
Sebastian Raschka |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
San Francisco, |
| Name of producer, publisher, distributor, manufacturer |
No Starch Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2024 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xxviii, 234 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographic references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Neural networks and deep learning<br/>Computer vision<br/>Natural language processing<br/>Production and deployment<br/>Predictive peformance and model evaluation |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deployment; and predictive performance and model evaluation"-- <br/> |
| Expansion of summary note |
Provided by publisher |
| 590 ## - CITATION |
| Citation |
Raschka, S. (2024). Machine learning Q and AI: 30 essential questions and answers on machine learning and AI. No Starch Press. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Machine learning |
| 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 |
Neural networks (Computer science) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |
| Suppress in OPAC |
No |