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Linear Algebra for Data Science

Language EnglishEnglish
Book Hardback
Book Linear Algebra for Data Science HAVIV MOSHE
Libristo code: 43276622
Publishers WORLD SCIENTIFIC PUB CO INC, September 2023
This book serves as an introduction to linear algebra for undergraduate students in data science, st... Full description
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This book serves as an introduction to linear algebra for undergraduate students in data science, statistics, computer science, economics, and engineering. The book presents all the essentials in rigorous (proof-based) manner, describes the intuition behind the results, while discussing some applications to data science along the way.


The book comes with two parts, one on vectors, the other on matrices. The former consists of four chapters: vector algebra, linear independence and linear subspaces, orthonormal bases and the Gram-Schmidt process, linear functions. The latter comes with eight chapters: matrices and matrix operations, invertible matrices and matrix inversion, projections and regression, determinants, eigensystems and diagonalizability, symmetric matrices, singular value decomposition, and stochastic matrices. The book ends with the solution of exercises which appear throughout its twelve chapters.

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About the book

Full name Linear Algebra for Data Science
Author HAVIV MOSHE
Language English
Binding Book - Hardback
Date of issue 2023
Number of pages 224
EAN 9789811276224
ISBN 9811276226
Libristo code 43276622
Weight 512
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