Platzhalterbild für Maria Isabel Bueno Cachadina

Maria Isabel Bueno Cachadina

Maria Isabel Bueno is a Teaching Professor at the University of California, Santa Barbara, where she has served since 2006. She holds a Ph.D. from Universidad Carlos III de Madrid. Her research focuses on linear algebra and numerical linear algebra.

Javier Perez Alvaro is an Associate Professor at the University of Montana in Missoula, where he has served since 2017. He earned his Ph.D. from Universidad Carlos III de Madrid. His research focuses on numerical linear algebra and numerical analysis.

Weiterlesen

Zuletzt erschienen

Matrix Methods in Data Analysis

von Maria Isabel Bueno Cachadina

Part I: Linear Algebra And Machine Learning.- Why Should We Care?.- What You May Have Learned Before..- Core Topics.- Supplementary Topics.- Part II: Matrix Multiplication And Partitioned Matrices.- Why Should We Care?.- What You May Have Learned Before.- Core Topics.- Supplementary Topics.- From The Classroom To Real Life.- Part III: Norms, Distances, And Similarities.- Why Should We Care?.- What You May Have Learned Before.- Core Topics.- Supplementary Topics.- From The...
Format
E-Book
Erscheinung
22.09.2026
Preis
€117,69
Zum Buch Alle Titel entdecken

Sofort als Download verfügbar

NeuMatrix Methods in Data Analysis

Filter

Sortieren nach:

1 Produkt

Cover: Matrix Methods in Data Analysis (E-Book) von Maria Isabel Bueno Cachadina
Maria Isabel Bueno Cachadina
Matrix Methods in Data Analysis Angebot€117,69