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Linear Algebra and Optimization for Machine Learning

A Textbook

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Pages
520 pages
Reading time
19 hours

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Focusing on the intersection of linear algebra and optimization with machine learning, this textbook is designed for graduate students and professors in computer science, mathematics, and data science, while also being accessible to advanced undergraduates. It features numerous examples and exercises, along with a solution manual for instructors, enhancing the learning experience. The structured organization of chapters facilitates a comprehensive understanding of the subject matter.

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Linear Algebra and Optimization for Machine Learning, Charu C. Aggarwal

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Released
2021
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