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LINEAR ALGEBRA FOR DATA SCIENCE

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  • 258pages
  • 10 heures de lecture

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Focusing on linear algebra, this book is tailored for undergraduate students across various fields, including data science and engineering. It emphasizes a rigorous, proof-based approach while providing intuitive explanations of key concepts. Additionally, it explores practical applications of linear algebra in data science, making it a valuable resource for those looking to understand both theory and real-world relevance.

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LINEAR ALGEBRA FOR DATA SCIENCE, Moshe Haviv

Langue
Année de publication
2023
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