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Machine learning for dummies / (Record no. 91873)

MARC details
000 -LEADER
fixed length control field 01949cam a22002655i 4500
001 - CONTROL NUMBER
control field 19077328
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170320113506.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160428s2016 njua 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119245513 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119245516
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
Item number MUE-M
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mueller, John
245 10 - TITLE STATEMENT
Title Machine learning for dummies /
Statement of responsibility, etc John Paul Mueller and Luca Massaron
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken :
Name of publisher, distributor, etc John Wiley,
Date of publication, distribution, etc 2016
300 ## - PHYSICAL DESCRIPTION
Extent xii, 410 p. :
Other physical details illustrations ;
Dimensions 24 cm
490 1# - SERIES STATEMENT
Series statement For dummies
500 ## - GENERAL NOTE
General note "Learning made easy"--Cover.
500 ## - GENERAL NOTE
General note Includes index.
520 ## - SUMMARY, ETC.
Summary, etc Machine learning is an exciting new way to use computers to perform tasks that require the ability to learn from experience. In order to make machine learning a reality, programmers rely on special languages, such as Python and R, and new types of tools. Machine Learning For Dummies helps the reader understand what machine learning is, when it can help perform a new class of computer tasks, and how to implement machine learning using Python and R, along with the required tools. Unlike most machine learning books, Machine Learning For Dummies does not assume that the reader has years of experience using programming languages. This book provides the much-needed entry point for people who really could use machine learning to accomplish practical tasks, but dont necessarily have the skills required to use on more advanced books. This book will cover the entry level materials required to get readers up and running faster, how to perform practical tasks, how to perform useful work without getting overly involved in the underlying math principles, fun ways to play with new tools and learn as a result, and how to separate facts from myth to see how machine learning is useful in todays world. --Publisher
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Massaron, Luca,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type Copy number
      UMT Main Campus UMT Main Campus 2017-03-20 006.31 MUE-M 106439 2026-04-16 2017-03-20 Books  
      UMT Main Campus UMT Main Campus 2017-04-10 006.31 MUE-M 107277 2026-04-20 2017-04-10 Books C. 2