Introduction to machine learning / (Record no. 1970)

MARC details
000 -LEADER
fixed length control field 02997cam a22002895i 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-CaNGU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240131123917.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231121t2020 maua frb 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262043793
Qualifying information (hardcover)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
-- EG-CaNGU
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number ALI
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Alpaydin, Ethem,
Relator term author.
9 (RLIN) 5913
245 10 - TITLE STATEMENT
Title Introduction to machine learning /
250 ## - EDITION STATEMENT
Edition statement Fourth edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge, Massachusetts :
Name of producer, publisher, distributor, manufacturer The MIT Press,
Date of production, publication, distribution, manufacture, or copyright notice [2020]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2020
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 682 pages :
Other physical details illustrations ;
Dimensions 24 cm.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Adaptive computation and machine learning series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 00 - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering --Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
520 ## - SUMMARY, ETC.
Summary, etc. "Since the third edition of this text appeared in 2014, most recent advances in machine learning, both in theory and application, are related to neural networks and deep learning. In this new edition, the author has extended the discussion of multilayer perceptrons. He has also added a new chapter on deep learning including training deep neural networks, regularizing them so they learn better, structuring them to improve learning, e.g., through convolutional layers, and their recurrent extensions with short-term memory necessary for learning sequences. There is a new section on generative adversarial networks that have found an impressive array of applications in recent years. Alpaydin has also extended the chapter on reinforcement learning to discuss the use of deep networks in reinforcement learning. There is a new section on the policy gradient method that has been used frequently in recent years with neural networks, and two additional sections on two examples of deep reinforcement learning, which both made headlines when they were announced in 2015 and 2016 respectively. One is a network that learns to play arcade video games, and the other one learns to play Go. There are also revisions in other chapters reflecting new approaches, such as embedding methods for dimensionality reduction, and multi-label classification. In response to requests from instructors, this new edition contains two new appendices on linear algebra and optimization, to remind the reader of the basics of those topics that find use in machine learning"--
Assigning source Provided by publisher.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
Source of heading or term NGU-sh
9 (RLIN) 3897
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Arrivals Code Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Information Technology Library D Library D 11/22/2023 Baccah 3910.00 ITS202311 006.31 ALI 1004541 08/14/2024 11/22/2023 Book Non-borrowing
    Dewey Decimal Classification     Information Technology Library D Library D 11/22/2023 Baccah 3910.00 ITS202311 006.31 ALI 1004542 08/14/2024 11/22/2023 Book