MATHEMATICAL PROGRAMMING

Linear Algebra For Data Science

Name: Linear Algebra For Data Science
Brand: World Scientific
SKU: 9798886130775
Price: 1436.00 INR
Availability: InStock
ISBN: 9798886130775

Contributor(s): Haviv Moshe Author Format: Paperback

Paperback · ISBN 9798886130775

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Key Specifications

ISBN	9798886130775
Publisher	World Scientific
Language	English
Page count	256

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.

Linear Algebra For Data Science

Key Specifications

Haviv Moshe Author

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