Practical machine learning / (Record no. 15944)

MARC details
000 -LEADER
fixed length control field 01599nam a2200229Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102818.0
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 9781784399689
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA 76.9 .G65 2016
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gollapudi, Sunila
Relator term author
245 #0 - TITLE STATEMENT
Title Practical machine learning /
Statement of responsibility, etc. Sunila Gollapudi
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Birmingham, UK :
Name of publisher, distributor, etc. Packt Publishing, Limited,
Date of publication, distribution, etc. c2016
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 433 pages :
Other physical details illustrations ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount USD94.53
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Introduction to machine learning -- Chapter 2. Machine learning and large-scale datasets -- Chapter 3. An introduction to Hadoop's architecture and ecosystem -- Chapter 4. Machine learning tools, libraries, and frameworks -- Chapter 5. Decision tree based learning -- Chapter 6. Instance and Kernel methods based learning -- Chapter 7. Association rules based learning -- Chapter 8. Clustering based learning -- Chapter 9. Bayesian learning -- Chapter 10 : Regression based learning -- Chapter 11. Deep learning -- Chapter 12. Reinforcement learning -- Chapter 13. Ensemble learning -- Chapter 14. New generation data architectures for machine learning.
520 ## - SUMMARY, ETC.
Summary, etc. This book explores an extensive range of machine learning techniques, uncovering hidden tips and tricks for several types of data using practical real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MACHINE LEARNING
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     General Education LRC - Graduate Studies National University - Manila General Circulation 06/14/2017 Purchased - Amazon 378.14   GC QA 76.9 .G65 2016 NULIB000013703 05/20/2025 c.1 05/20/2025 Books