A concise introduction to machine learning / (Record no. 654444)

MARC details
000 -LEADER
fixed length control field 02201cam a22003858i 4500
001 - CONTROL NUMBER
control field 20932346
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200110161532.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190411s2020 flu b 001 0 eng c
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019015915
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780815384205 (hbk : alk. paper)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780815384106 (pbk : alk. paper)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781351204750 (ebk)
040 ## - CATALOGING SOURCE
Original cataloging agency LBSOR/DLC
Language of cataloging eng
Description conventions rda
Transcribing agency LBSOR
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .F38 2020
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Faul, A. C.
Fuller form of name (Anita C.),
Relator term author.
245 12 - TITLE STATEMENT
Title A concise introduction to machine learning /
Statement of responsibility, etc Anita Faul.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 1910
264 #1 -
-- Boca Raton, Florida :
-- CRC Press,
-- [2019]
300 ## - PHYSICAL DESCRIPTION
Extent pages cm
336 ## -
-- text
-- rdacontent
337 ## -
-- unmediated
-- rdamedia
338 ## -
-- volume
-- rdacarrier
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC machine learning & pattern recognition
520 ## - SUMMARY, ETC.
Summary, etc "Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"--
-- Provided by publisher.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Dimensionality reduction -- Regression -- Feature learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Form subdivision Textbooks.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
925 0# -
-- acquire
-- 1 shelf copy
-- policy default
955 ## - COPY-LEVEL INFORMATION (RLIN)
-- rl46 2019-04-18 to Dewey
-- xm06 2019-04-22
963 ## -
-- Kirsten Barr; phone: +44-7017 5393; email: kirsten.barr@tandf.co.uk; bc: kirsten.barr@tandf.co.uk
985 ## -
-- LBSORCIP
-- 2019-04-15
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Symbiosis School for Liberal Arts Symbiosis School for Liberal Arts 20/01/2020 191 3075.49   006/FAU SSLA-B-9880 20/01/2020 4393.57 20/01/2020 Books