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Library Catalogue

Linear algebra and optimization for machine Learning: a textbook (Record no. 5159)

MARC details
000 -LEADER
fixed length control field 01540nam a22001937a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241211170031.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241211b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030403461
040 ## - CATALOGING SOURCE
Transcribing agency National Institute of Technology Goa
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 512.5
Item number AGG/LIN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aggarwal, Charu C
245 ## - TITLE STATEMENT
Title Linear algebra and optimization for machine Learning: a textbook
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Switzerland:
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 498p.: 6x11x2; Paperback
520 ## - SUMMARY, ETC.
Summary, etc. This textbook introduces linear algebra and optimization in the context of machine learning. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis. Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the accuracy of regression and classification models. The “parent problem” of optimization-centric machine learning is least-squares regression. Interestingly, this problem arises in both linear algebra and optimization, and is one of the key connecting problems of the two fields
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Mathematics
Topical term or geographic name entry element Mathematics; Optimization; Linear systems; Machine learning; Matrix factorization; Linear algebra
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source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 Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note Date due Date last checked out
    Dewey Decimal Classification     Central Library NIT Goa Central Library NIT Goa General stacks 11/12/2024 Atlantic Publishers & Distributors (P) Ltd. 4704.06   512.5 AGG/LIN 10829 11/12/2024 11/12/2024 Reference Reference Book Rack number 38(B)    
    Dewey Decimal Classification     Central Library NIT Goa Central Library NIT Goa General stacks 11/12/2024 Atlantic Publishers & Distributors (P) Ltd. 4704.06 1 512.5 AGG/LIN 10830 24/04/2025 11/12/2024 Books Book Rack number 11(A) 23/07/2025 24/04/2025
    Dewey Decimal Classification     Central Library NIT Goa Central Library NIT Goa General stacks 11/12/2024 Atlantic Publishers & Distributors (P) Ltd. 4704.06   512.5 AGG/LIN 10831 11/12/2024 11/12/2024 Books Book Rack number 11(A)    
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