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Více informací o knize Linear Algebra in Data Science

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• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Algebra

• Plný název: Linear Algebra in Data Science
• Autor: Peter Zizler, Roberta La Haye
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 180
• EAN: 9783031549076
• ID: 44743259
• Nakladatelství: Springer, Berlin
• Hmotnost: 324 g
• Rozměry: 235 × 155 mm
• Datum vydání: 05. May 2024

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