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Linear Algebra for Machine Learning: Foundations and Applications
Paperback
Publisher: Independently Published
Published: Feb 1 2025
Pages: 78
Weight: 0.26
Height: 0.16 Width: 6.00 Depth: 9.00
Language: English
By the end of this book, readers will gain a solid grasp of how linear algebra is employed in machine learning algorithms such as Support Vector Machines, Neural Networks, and Principal Component Analysis. The combination of mathematical insights and code demonstrations will equip readers with the skills necessary to develop, optimize, and interpret machine learning models effectively.
Whether you are a student, researcher, or professional, this book serves as a comprehensive guide to understanding and applying linear algebra in the field of machine learning.
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