Linear Algebra in Data Science / Najlacnejšie knihy
Linear Algebra in Data Science

Code: 44743259

Linear Algebra in Data Science

by Peter Zizler, Roberta La Haye

This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many ... more

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Book synopsis

This textbook explores applications of linear algebra in data science at an introductory level, showing readers how the two are deeply connected. The authors accomplish this by offering exercises that escalate in complexity, many of which incorporate MATLAB. Practice projects appear as well for students to better understand the real-world applications of the material covered in a standard linear algebra course. Some topics covered include singular value decomposition, convolution, frequency filtering, and neural networks. Linear Algebra in Data Science is suitable as a supplement to a standard linear algebra course.

Book details

Book category Books in English Mathematics & science Mathematics Algebra

45.64

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