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Linear algebra and optimization with applications to machine learning

Linear algebra and optimization with applications to machine learning (Loan 1 times)

Material type
단행본
Personal Author
Gallier, Jean H., author. Quaintance, Jocelyn, author.
Title Statement
Linear algebra and optimization with applications to machine learning / Jean Gallier, Jocelyn Quaintance.
Publication, Distribution, etc
Singapore :   World Scientific,   c2020.  
Physical Medium
v. : ill. ; 24 cm.
ISBN
9789811206399 (hardcover) 9789811207716 (paperback)
요약
"This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields"--
Content Notes
Volume I. Linear algebra for computer vision, robotics, and machine learning.
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Algebras, Linear. Machine learning --Mathematics.
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010 ▼a 2020001727
020 ▼a 9789811206399 (hardcover)
020 ▼a 9789811207716 (paperback)
020 ▼z 9789811206405 (ebook)
035 ▼a (KERIS)REF000019287363
040 ▼a LBSOR/DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
042 ▼a pcc
050 0 0 ▼a QA184.2 ▼b .G35 2020
082 0 0 ▼a 512/.5 ▼2 23
084 ▼a 512.5 ▼2 DDCK
090 ▼a 512.5 ▼b G168L
100 1 ▼a Gallier, Jean H., ▼e author.
245 1 0 ▼a Linear algebra and optimization with applications to machine learning / ▼c Jean Gallier, Jocelyn Quaintance.
260 ▼a Singapore : ▼b World Scientific, ▼c c2020.
263 ▼a 2004
300 ▼a v. : ▼b ill. ; ▼c 24 cm.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a unmediated ▼b n ▼2 rdamedia
338 ▼a volume ▼b nc ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
505 1 0 ▼g Volume I. ▼t Linear algebra for computer vision, robotics, and machine learning.
520 ▼a "This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields"-- ▼c Provided by publisher.
650 0 ▼a Algebras, Linear.
650 0 ▼a Machine learning ▼x Mathematics.
700 1 ▼a Quaintance, Jocelyn, ▼e author.
945 ▼a KLPA.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 512.5 G168L Accession No. 121255684 Availability Available Due Date Make a Reservation Service B M