A first course in machine learning / (Record no. 222)

MARC details
000 -LEADER
fixed length control field 01854nam a22003137a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231013222915.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201228b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-14-8738484 (Hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency CvSU-CCAT Campus Library.
Language of cataloging English.
Transcribing agency CvSU-CCAT Campus Library.
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number CIR Q 325.5
Item number R64 2017
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rogers, Simon, author.
9 (RLIN) 582
245 ## - TITLE STATEMENT
Title A first course in machine learning /
Statement of responsibility, etc. Simon Rogers; Mark Girolami.
250 ## - EDITION STATEMENT
Edition statement Second edition
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. c2017.
300 ## - PHYSICAL DESCRIPTION
Extent xxix, 397 pages :
Other physical details illustrations (black and white) ;
Dimensions 24 cm.
490 ## - SERIES STATEMENT
Series statement Chapman & Hall/CRC machine learning & pattern recognition series
500 ## - GENERAL NOTE
General note Includes e-book access.<br/>Previous edition: 2012.<br/>
501 ## - WITH NOTE
With note "A Chapman & Hall book."
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.<br/>
505 ## - 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. Further Topics in Markov Chain Monte Carlo. Classification and Regression with Gaussian Processes. Dirichlet Process models.
520 ## - SUMMARY, ETC.
Summary, etc. The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes three new chapters with more detailed discussion of Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models.
546 ## - LANGUAGE NOTE
Language note In English text.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 301
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers and IT.
9 (RLIN) 583
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Girolami, Mark, author.
9 (RLIN) 584
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Edition Second edition.
Classification part Q 325.5 R64 2017
Call number prefix CIR
Source of classification or shelving scheme Library of Congress Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Coded location qualifier Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Book Cavite State University - CCAT Campus Cavite State University - CCAT Campus GCS 05/22/2019 Purchased GCS CIR Q 325.5 R64 2017 R0011731 10/15/2025 1 12/28/2020 Book