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

By Jeffrey A. Fessler,Raj Rao Nadakuditi | Publisher: Cambridge University Press

About the book

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.

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

Hardcover
ISBN 9781009418140

Read an Excerpt

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.

Frequently Asked Questions

What is Linear Algebra for Data Science, Machine Learning, and Signal Processing about?

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.

What core themes, tropes, or subjects are explored in Linear Algebra for Data Science, Machine Learning, and Signal Processing?

Computing and Information Technology > Computer science > Mathematical theory of computation > Maths for computer scientists

Where can I read a sample of Linear Algebra for Data Science, Machine Learning, and Signal Processing?

You can read an official preview of the few pages here https://www.book2look.com/book/9781009418140

How long is Linear Algebra for Data Science, Machine Learning, and Signal Processing and how many pages does it have?

Linear Algebra for Data Science, Machine Learning, and Signal Processing has 450 page(s)

Who is/are the Author/s of the book Linear Algebra for Data Science, Machine Learning, and Signal Processing?

Jeffrey A. Fessler,Raj Rao Nadakuditi

Who is the Publisher of the book Linear Algebra for Data Science, Machine Learning, and Signal Processing?

Cambridge University Press

What are the ISBN numbers for the physical and digital editions?

Linear Algebra for Data Science, Machine Learning, and Signal Processing is available as hardcover(ISBN 9781009418140)

Where can I buy Linear Algebra for Data Science, Machine Learning, and Signal Processing online or support local independent bookshops?

You can buy Linear Algebra for Data Science, Machine Learning, and Signal Processing from below

Where can I buy Linear Algebra for Data Science, Machine Learning, and Signal Processing?