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Linear algebra and optimization with applications to machine learning

Linear algebra and optimization with applications to machine learning (1회 대출)

자료유형
단행본
개인저자
Gallier, Jean H., author. Quaintance, Jocelyn, author.
서명 / 저자사항
Linear algebra and optimization with applications to machine learning / Jean Gallier, Jocelyn Quaintance.
발행사항
Singapore :   World Scientific,   c2020.  
형태사항
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"--
내용주기
Volume I. Linear algebra for computer vision, robotics, and machine learning.
서지주기
Includes bibliographical references and index.
일반주제명
Algebras, Linear. Machine learning --Mathematics.
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020 ▼a 9789811207716 (paperback)
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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.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 512.5 G168L 등록번호 121255684 도서상태 대출가능 반납예정일 예약 서비스 B M

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