Feature engineering and selection : (Record no. 260)

MARC details
000 -LEADER
fixed length control field 01805cam a2200301Ii 4500
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210114s2020 flua b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1138079227
International Standard Book Number 9781138079229
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1099869989
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ217.6
Item number .K84 2020
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kuhn, Max.
245 10 - TITLE STATEMENT
Title Feature engineering and selection :
Remainder of title a practical approach for predictive models /
Statement of responsibility, etc. Max Kuhn, Kjell Johnson.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press, Taylor & Francis Group,
Date of publication, distribution, etc. c2020.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 297 p. :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Chapman & Hall/CRC data science series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Illustrative example: predicting risk of ischemic stroke -- 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.
520 ## - SUMMARY, ETC.
Summary, etc. The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for finding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Predictive control
General subdivision Data processing.
Topical term or geographic name entry element Predictive control
General subdivision Mathematical models.
Topical term or geographic name entry element R (Computer program language)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Johnson, Kjell.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Chapman & Hall/CRC data science series.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Punsarn Library Punsarn Library General Stacks 17/06/2021 TJ217.6 .K84 2020 PNLIB21060074 17/06/2021 17/06/2021 Books