Linear Algebra For Data Science - Hardcover

Haviv, Moshe

 
9789811276224: Linear Algebra For Data Science
Hardcover
ISBN 10: 9811276226 ISBN 13: 9789811276224
Verlag: WSPC, 2023

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
WSPC
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
9811276226
ISBN 13 
9789811276224
Einband
Gebundene Ausgabe
Anzahl der Seiten
256
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

Lengericher Landstr. 19
Osnabrück
Niedersachsen
49078
Deutschland