MARC details
000 -LEADER |
fixed length control field |
02132nam a2200325 i 4500 |
001 - CONTROL NUMBER |
control field |
CR9781009003971 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
UkCbUP |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240913192936.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m|||||o||d|||||||| |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr|||||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
201022s2022||||enk o ||1 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781009003971 (ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Canceled/invalid ISBN |
9781316518908 (hardback) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
UkCbUP |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
UkCbUP |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q325.5 |
Item number |
.M386 2022 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
McAuley, Julian, |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Personalized machine learning / |
Statement of responsibility, etc. |
Julian McAuley. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cambridge, United Kingdom ; New York, NY : |
Name of producer, publisher, distributor, manufacturer |
Cambridge University Press, |
Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (x, 326 pages) : |
Other physical details |
digital, PDF file(s). |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
500 ## - GENERAL NOTE |
General note |
Title from publisher's bibliographic system (viewed on 24 Jan 2022). |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Machine learning. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Print version: |
International Standard Book Number |
9781316518908 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1017/9781009003971">https://doi.org/10.1017/9781009003971</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
eBooks |