
Linear Algebra For Data Science
Moshe Haviv(Author)
World Scientific Publishing Co Pte Ltd
Published on 18. July 2023
Book
Hardback
256 pages
978-981-12-7622-4 (ISBN)
Description
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.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 19 mm
Weight
529 gr
ISBN-13
978-981-12-7622-4 (9789811276224)
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Schweitzer Classification
Person
Author
The Chinese University Of Hong Kong, Shenzhen, China & The Hebrew University Of Jerusalem, Israel