Feature engineering for machine learning : (Record no. 76240)

000 -LEADER
fixed length control field 01000nam a2200193 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789352137114
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number ALI/F
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Alice, Zheng
245 10 - TITLE STATEMENT
Title Feature engineering for machine learning :
Remainder of title principles and techniques for data scientists
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Mumbai
Name of publisher Shroff publishers
Year of publication 2018
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiii, 200 pages :
Other physical details illustrations ;
520 ## - SUMMARY, ETC.
Summary, etc Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youll learn techniques for extracting and transforming featuresthe numeric representations of raw datainto formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.--
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data mining.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Casari, Amanda,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type BK
001 - CONTROL NUMBER
control field 20640679
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2018302039
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Lost status
Holdings
Damaged status Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Full call number Accession Number Koha item type
  Stack Kannur University Central Library Kannur University Central Library Stack 05/07/2024 625.00 006.31 ALI/F 68237 BK
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