MARC details
| 000 -LEADER |
| fixed length control field |
01519nam a2200313 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
CSPC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20241125093813.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
241119s2020 flua b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781032090856 |
| 040 ## - CATALOGING SOURCE |
| Transcribing agency |
CSPC |
| Original cataloging agency |
CSPC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
006.31 |
| Item number |
K955f |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Kuhn, Max, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Feature engineering and selection : |
| Remainder of title |
a practical approach for predictive models / |
| Statement of responsibility, etc. |
Max Kuhn and Kjell Johnson. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
Boca Raton, Florida : |
| Name of producer, publisher, distributor, manufacturer |
CRC Press, an imprint of Taylor & Francis Group, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2020. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xv, 297 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
26 cm. |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
volume |
| Source |
rdacarrier |
| 490 ## - SERIES STATEMENT |
| Series statement |
Data science series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Introduction -- Illustrative example: predicting risk of ischemic -- A review of the predictive modeling process -- Exploratory visualizations -- Encoding categorical predictors -- Engineering numeric predictors -- Detecting interaction effects -- Handling missing data -- Working with profile data -- Feature selection overview -- Greedy search methods -- Global search methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Predictive analytics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Feature engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Data mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Johnson, Kjell, |
| Relator term |
author. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Suppress in OPAC |
No |
| Koha item type |
Books |
| Edition |
23 |
| Classification part |
006.31 |
| Item part |
K955f |
| Call number prefix |
ENG |
| Call number suffix |
2020 |