Jeffrey A. Fessler (Ann Arbor University of Michigan), Raj Rao Nadakuditi (Ann Arbor University of Michigan)

Gebundenes Buch

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

Beschreibung

Master basic matrix methods by seeing how the mathematics 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.

Autor

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.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 450
• Erscheinungstermin: 16. Mai 2024
• Englisch
• Abmessung: 246mm x 175mm x 29mm
• Gewicht: 946g
• ISBN-13: 9781009418140
• ISBN-10: 1009418149
• Artikelnr.: 70005612