MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02664cam a22003978i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22096212 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251023092128.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210622s2022 enk b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2021030297 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781108843607 |
| Qualifying information |
(hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781108919371 |
| Qualifying information |
(epub) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
22096212 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.L56 2021 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3/1 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lindholm, Andreas |
| Relator term |
author. |
| 9 (RLIN) |
876 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning : |
| Remainder of title |
a first course for engineers and scientists / |
| Statement of responsibility, etc. |
Andreas Lindholm et al. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2111 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cambridge, UK; |
| Name of producer, publisher, distributor, manufacturer |
Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 338 pages. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used unsupervised methods (generative modeling, k-means, PCA, autoencoders and generative adversarial networks). Careful explanations and pseudo-code are presented for all methods. The authors maintain a focus on the fundamentals by drawing connections between methods and discussing general concepts such as loss functions, maximum likelihood, the bias-variance decomposition, ensemble averaging, kernels and the Bayesian approach along with generally useful tools such as regularization, cross validation, evaluation metrics and optimization methods. The final chapters offer practical advice for solving real-world supervised machine learning problems and on ethical aspects of modern machine learning"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
614 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
<a href="Wahlstrom, Niklas ">Wahlstrom, Niklas </a> |
| Relator term |
author. |
| 9 (RLIN) |
877 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
<a href="Lindste, Fredrik">Lindste, Fredrik</a> |
| Relator term |
author. |
| 9 (RLIN) |
878 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
<a href="Schon, Thomas B">Schon, Thomas B</a> |
| Relator term |
author. |
| 9 (RLIN) |
879 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Lindholm, Andreas, 1989- |
| Title |
Machine learning |
| Edition |
1. |
| Place, publisher, and date of publication |
New York : Cambridge University Press, 2021 |
| International Standard Book Number |
9781108919371 |
| Record control number |
(DLC) 2021030298 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Universal Decimal Classification |
| Koha item type |
Books |
| Classification part |
681.32.091 LIN |
| Call number prefix |
681.32.091 |
| Call number suffix |
LIN |
