Linear Algebra for Data Science, Machine Learning, and Signal Processing

Fessler, Jeffrey A.

ISBN 10: 1009418149 ISBN 13: 9781009418140

Published by Cambridge University Press, 2024

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Synopsis:

Master matrix methods via engaging data-driven applications, aided by classroom-tested quizzes, homework exercises and online Julia demos.

About the Authors: Jeffrey A. Fessler is the William L. Root Professor of EECS at the University of Michigan. He received the Edward Hoffman Medical Imaging Scientist Award in 2013, and an IEEE EMBS Technical Achievement Award in 2016. He received the 2023 Steven S. Attwood Award, the highest honor awarded to a faculty member by the College of Engineering at the University of Michigan. He is a fellow of the IEEE and of the AIMBE.

Raj Rao Nadakuditi is an Associate Professor of EECS at the University of Michigan. He received the Jon R. and Beverly S. Holt Award for Excellence in Teaching in 2018 and the Ernest and Bettine Kuh Distinguished Faculty Award in 2021.

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Bibliographic Details

Title: Linear Algebra for Data Science, Machine ...
Publisher: Cambridge University Press
Publication Date: 2024
Binding: HRD
Condition: New

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Linear Algebra for Data Science, Machine Learning, and Signal Processing

Fessler, Jeffrey A.,Nadakuditi, Raj Rao

Published by Cambridge University Press, 2024

ISBN 10: 1009418149 ISBN 13: 9781009418140

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Linear Algebra for Data Science, Machine Learning, and Signal Processing

Fessler, Jeffrey A.,Nadakuditi, Raj Rao

Published by Cambridge University Press, 2024

ISBN 10: 1009418149 ISBN 13: 9781009418140

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Linear Algebra for Data Science, Machine Learning, and Signal Processing

Fessler, Jeffrey A.; Nadakuditi, Raj Rao

Published by Cambridge University Press, 2024

ISBN 10: 1009418149 ISBN 13: 9781009418140

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Linear Algebra for Data Science, Machine Learning, and Signal Processing

Fessler, Jeffrey A.; Nadakuditi, Raj Rao

Published by Cambridge University Press (edition 1), 2024

ISBN 10: 1009418149 ISBN 13: 9781009418140

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