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Linear Algebra in Data Science : Mathematics and Statistics (R0) - Peter Zizler

Linear Algebra in Data Science

By: Peter Zizler, Roberta La Haye

eText | 14 May 2024

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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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Non-Fiction Mathematics Algebra Computing & I.T.Databases Computer Science Artificial Intelligence Applied Mathematics Mathematical Theory of Computation

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