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

Autor Jeffrey A Fessler, Raj Rao Nadakuditi
en Limba Engleză Hardback – 11 iul 2024
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.
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Specificații

ISBN-13: 9781009418140
ISBN-10: 1009418149
Pagini: 450
Dimensiuni: 175 x 246 x 29 mm
Greutate: 0.93 kg
Editura: Cambridge University Pr.