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Machine learning (Record no. 35376)

MARC details
000 -LEADER
fixed length control field 02264nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241112143606.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241112b |||||||| |||| 00| 0 hin d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811519697
040 ## - CATALOGING SOURCE
Original cataloging agency NISER LIBRARY
Language of cataloging eng
Transcribing agency NISER LIBRARY
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.85
Item number ZHO-M
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zhou, Zhi-hua
245 ## - TITLE STATEMENT
Title Machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Singapore :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 458p.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes index
520 ## - SUMMARY, ETC.
Summary, etc. Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest.
521 ## - TARGET AUDIENCE NOTE
Target audience note The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian networks
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Learning algorithms
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical models
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Liu, Shaowu
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Table of contents
Uniform Resource Identifier <a href="https://link.springer.com/content/pdf/bfm:978-981-15-1967-3/1">https://link.springer.com/content/pdf/bfm:978-981-15-1967-3/1</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Reviews
Uniform Resource Identifier <a href="https://www.goodreads.com/book/show/71469651-machine-learning#CommunityReviews">https://www.goodreads.com/book/show/71469651-machine-learning#CommunityReviews</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Universal Decimal Classification
Koha item type Book
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 Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Universal Decimal Classification     NISER LIBRARY NISER LIBRARY 11/11/2024 Order No. NISER/LIB/BK/PO/2024-25/13, Dt 03/10/2024 ; Cascade Book Distributor ; Invoice No. CBD/AM/24-25/21, Dt 1/11/2024   004.85 ZHO-M 25325 12/11/2024 12/11/2024 Book
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