Fundamentals of machine learning for predictive data analytics : (Record no. 16010)

MARC details
000 -LEADER
fixed length control field 01247nam a2200229Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102820.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262029445
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q 325.5 .K45 2015
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kelleher, John D.
Relator term author
245 #0 - TITLE STATEMENT
Title Fundamentals of machine learning for predictive data analytics :
Remainder of title algorithms, worked examples, and case studies /
Statement of responsibility, etc. John D. Kelleher
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, Massachusetts :
Name of publisher, distributor, etc. The MIT Press, Cambridge,
Date of publication, distribution, etc. c2015
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 595 pages ;
Dimensions 23 cm.
365 ## - TRADE PRICE
Price amount USD84.17
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Machine learning for predictive data analytics -- Data to insights to decisions -- Data exploration -- Information-based learning -- Similarity-based learning -- Probability-based learning -- Error-based learning -- Evaluation -- Case study : customer churn -- Case study : galaxy classification -- The art of machine learning for predictive data.
520 ## - SUMMARY, ETC.
Summary, etc. A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DATA MINING
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Gen. Ed. - CCIT LRC - Graduate Studies National University - Manila General Circulation 06/14/2017 Purchased - Amazon 168.34   GC Q 325.5 .K45 2015 NULIB000013769 05/20/2025 c.1 05/20/2025 Books