Linear Algebra for Data Science

Name: Linear Algebra for Data Science
Brand: WORLD SCIENTIFIC PUB CO INC
SKU: 9789811276224
Price: 1936 CZK
Availability: InStock

Autor: HAVIV MOSHE

Jazyk:

Vazba: Pevná

Vydavatel: WORLD SCIENTIFIC PUB CO INC

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

1 936 Kč

This book serves as an introduction to linear algebra for undergraduate students in data science, st...

Informace o knize

Autor

HAVIV MOSHE

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2023

Stránek

224

EAN

9789811276224

ISBN

9811276226

Enbook ID

43276622

Vydavatel

WORLD SCIENTIFIC PUB CO INC

Hmotnost

512

Kompletní popis

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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Linear Algebra for Data Science

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