Applied machine learning / (Record no. 4407)

000 -LEADER
fixed length control field 02326cam a22003977i 4500
001 - CONTROL NUMBER
control field 20774258
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250220164506.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181210t20192019nyua b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2018966932
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030181161
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)on1088910512
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Transcribing agency YDX
Description conventions rda
Modifying agency YDXIT
-- PIT
-- OCLCF
-- NLHHG
-- NLMAA
-- CHVBK
-- OCLCO
-- DLC
042 ## - AUTHENTICATION CODE
Authentication code lccopycat
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5.F67 2019
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Forsyth, David
245 10 - TITLE STATEMENT
Title Applied machine learning /
Statement of responsibility, etc David Forsyth
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Switzerland
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2019
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 494 pages ;
Dimensions 27 cm
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Supervised learning: rationale and basics -- Statistical learning -- Learning with Support Vector Machines (SVM) -- Learning with Neural Networks (NN) -- Fuzzy inference systems -- Data clustering and data transformations -- Decision tree learning -- Business intelligence and data mining : techniques and applications -- Appendix A: Genetic Algorithm (GA) for search optimization -- Appendix B: Reinforcement Learning (RL) -- Datasets from real-life applications for machine learning experiments -- Problems.
520 ## - SUMMARY, ETC.
Summary, etc "This comprehensive textbook explores the theoretical underpinnings 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, acurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical syle, the book covers a broad array of machine learning ropics with special emphasis on methods that have been profitably employed." -- back cover.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Form subdivision Textbooks.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mechanical engineering
Form subdivision Textbooks.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mechanical engineering.
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maschinelles Lernen
Source of heading or term gnd
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine-learning
Source of heading or term gtt
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Textbooks.
Source of term fast
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Leermiddelen (vorm)
Source of term gtt
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Textbooks.
Source of term lcgft
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c copycat
d 2
e epcn
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
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 Total Renewals Full call number Barcode Checked out Date last seen Date checked out Copy number Price effective from Koha item type
          Riara University Library Riara University Library General stack 20/02/2025 1 1 Q325.5.F67 2019 10750/25 25/04/2026 24/03/2026 24/03/2026 C.1 20/02/2025 Book
          Riara University Library Riara University Library General stack 20/02/2025     Q325.5.F67 2019 10751/25   20/02/2025   C.2 20/02/2025 Book

Riara University Library,
P.O. Box 49940-00100,
Nairobi, Kenya.