Linear Algebra for Data Science

Name: Linear Algebra for Data Science
Brand: WORLD SCIENTIFIC PUB CO INC
SKU: 9789811276224
Price: 80.07 EUR
Availability: InStock

Autor: HAVIV MOSHE

Jazyk:

Väzba: Pevná

Vydavateľ: WORLD SCIENTIFIC PUB CO INC

Dostupnosť: Skladom u dodávateľa

Odosielame za 9-15 dní

80.07 €

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

Informácie o knihe

Autor

HAVIV MOSHE

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2023

Stránok

224

EAN

9789811276224

ISBN

9811276226

Enbook ID

43276622

Vydavateľ

WORLD SCIENTIFIC PUB CO INC

Hmotnosť

512

Kompletný 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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