Applied machine learning (Record no. 12006)

MARC details
000 -LEADER
fixed length control field 01960nam a22002657a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230707100201.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220401t xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781260456844
040 ## - CATALOGING SOURCE
Transcribing agency CSPC
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number G646a
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gopal, M.,
Relator term author.
245 00 - TITLE STATEMENT
Title Applied machine learning
Statement of responsibility, etc. M. Gopal
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. United States of America :
Name of publisher, distributor, etc. McGraw-Hill Education ,
Date of publication, distribution, etc. 2019.
300 ## - PHYSICAL DESCRIPTION
Extent xix, 630 pages :
Other physical details figures, tables ;
Dimensions 27 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
500 ## - GENERAL NOTE
General note Includes index,
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references pages (613-622).
520 ## - SUMMARY, ETC.
Summary, etc. Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Cutting-edge machine learning principles, practices, and applications This comprehensive textbook explores the theoretical underƠpinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed. Coverage includes: •Supervised learning •Statistical learning •Learning with support vector machines (SVM) •Learning with neural networks (NN) •Fuzzy inference systems •Data clustering •Data transformations •Decision tree learning •Business intelligence •Data mining •And much more
940 ## - EQUIVALENCE OR CROSS-REFERENCE--UNIFORM TITLE [OBSOLETE] [CAN/MARC only]
Uniform title <a href="Lenie">Lenie</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main Library-Nabua Main Library-Nabua Engineering Section 05/12/2023   ENG 006.31 G646a 2019 023618 05/12/2023 1-2 05/12/2023 Books
    Dewey Decimal Classification     Main Library-Nabua Main Library-Nabua Engineering Section 05/12/2023   ENG 006.31 G646a 2019 023619 05/12/2023 2-2 05/12/2023 Books