A first course in machine learning / (Record no. 6915)

MARC details
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120222s2011 flu b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2011039389
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439824146
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u8012
040 ## - CATALOGING SOURCE
Original cataloging agency EG-CaNU
Transcribing agency EG-CaNU
Modifying agency EG-CaNU
042 ## - AUTHENTICATION CODE
Authentication code ncode
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rogers, Simon,
Dates associated with a name 1979-
9 (RLIN) 14491
245 12 - TITLE STATEMENT
Title A first course in machine learning /
Statement of responsibility, etc. Simon Rogers, Mark Girolami.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. 2011.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 285 p. ;
Dimensions 23 cm.
490 0# - SERIES STATEMENT
Series statement Machine learning & pattern recognition series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Linear Modelling: A Least Squares Approach -- Linear Modelling: A Maximum Likelihood Approach -- The Bayesian Approach to Machine Learning -- Bayesian Inference -- Classification -- Clustering -- Principal Components Analysis and Latent Variable Models.
520 ## - SUMMARY, ETC.
Summary, etc. A First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text gives detailed descriptions and derivations for a small number of algorithms rather than cover many algorithms in less detail.
596 ## -
-- 1
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 14492
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Girolami, Mark,
Dates associated with a name 1963-
9 (RLIN) 14493
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main library Main library General Stacks 01/26/2020 AHRA-P 3 1 006.31 / RO.F 2011 011649 05/29/2023 04/26/2023 1 11/24/2019 Books