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Book Synopsis
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.

Linear Algebra for Data Science Machine Learning

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    A Hardback by Jeffrey A. Fessler

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      Book details

      Publisher Cambridge University Press
      Published 5/16/2024
      ISBN-13 9781009418140
      978-1009418140
      ISBN-10 1009418149
      Also in:
      Dictionaries, Reference & Language Data science and analysis

      Description

      Book Synopsis
      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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