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Author Fessler, Jeffrey A., 1964- author.

Title Linear algebra for data science, machine learning, and signal processing / Jeffrey A. Fessler, Raj Rao Nadakuditi.

Publication Info. New York, New York : Cambridge University Press, 2024.

Copies

Location Call No. OPAC Message Status
 Axe 2nd Floor Stacks  512.5 F425l 2024    New Books Axe 1st Floor  DUE 10-15-24
1 copy being processed for Axe Acquisitions Order.
Description xviii, 431 pages : illustrations (cheifly color) ; 26 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Bibliography Includes bibliographical references and index.
Summary "Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as well as online JULIA demos offering a hands-on learning experience for upper-level undergraduates and first-year graduate students"-- Provided by publisher.
Subject Algebras, Linear -- Textbooks.
Matrices -- Textbooks.
Machine learning -- Mathematics -- Textbooks.
Signal processing -- Mathematics -- Textbooks.
Julia (Computer program language) -- Textbooks.
Algebras, Linear (OCoLC)fst00804946
Julia (Computer program language) (OCoLC)fst01938397
Matrices (OCoLC)fst01012399
Signal processing -- Mathematics (OCoLC)fst01118302
Genre/Form Textbooks (OCoLC)fst01423863
Added Author Nadakuditi, Raj Rao, 1977- author.
ISBN 9781009418140 (hardback)
1009418149
9781009418164 (epub)

 
    
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