Linear Algebra in Data Science (Compact Textbooks in Mathematics)
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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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£27.18
£28.33 -
£10.58
£12.58 -
£16.71
£17.13
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