Machine learning : (Record no. 16272)

MARC details
000 -LEADER
fixed length control field 01856nam a2200241Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102826.0
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 9781118889060
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q 325.5 .B45 2015
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bell, Jason.
Relator term author
245 #0 - TITLE STATEMENT
Title Machine learning :
Remainder of title hands-on for developers and technical professionals /
Statement of responsibility, etc. Jason Bell
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Indianapolis, Indiana :
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. c2015
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 380 pages :
Other physical details illustrations ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount USD33.5
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note What is machine learning? -- Planning machine learning -- Working with decision trees -- Bayesian networks -- Artificial neural networks -- Association rules learning -- Support vector machines -- Clustering -- Machine learning in real time with Spring XD -- Maching learning as a batch process -- Apache Spark -- Machine learning with R.
520 ## - SUMMARY, ETC.
Summary, etc. This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning. -- Edited summary
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MACHINE LEARNING
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bell, Jason
Relator term co-author
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     Master of Science in Computer Science LRC - Main National University - Manila General Circulation 12/01/2017 Purchased - Amazon 33.50   GC Q 325.5 .B45 2015 NULIB000014031 05/20/2025 c.1 05/20/2025 Books