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portada Linear Algebra in Data Science
Type
Physical Book
Publisher
Language
English
Pages
201
Format
Paperback
ISBN13
9783031549076

Linear Algebra in Data Science

Peter Zizler (Author) · Roberta La Haye (Author) · Birkhauser · Paperback

Linear Algebra in Data Science - Zizler, Peter ; La Haye, Roberta

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Synopsis "Linear Algebra in Data Science"

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.

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