Matrix Methods in Data Analysis

Language: English

Published by Springer Dez 2026, 2026

303211313X / 9783032113139

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This item is printed on demand - Print on Demand Titel. Neuware -This textbook offers a fresh and balanced approach to the study of Linear Algebra in the context of modern Data Science. Whereas many existing texts either emphasize theory with little connection to practice or jump straight to applications with minimal mathematical explanation, this book provides equal weight to both foundations and applications.Designed for undergraduates who have completed a proof-based Linear Algebra course, it introduces concepts and tools from Matrix Analysis that are essential for Data Science and Machine Learning. Topics include:- Vector norms and distances, orthogonality, and projections- Matrix factorizations such as LU, CR, QR, and SVD- Special matrix types: symmetric, positive definite, nonnegative, stochastic, and covariance matrices- Key numerical algorithms, including the QR algorithm and the Power MethodEach chapter is enriched with real-world applicationsfrom Google PageRank and Principal Component Analysis to clustering, dimensionality reduction, and linear regressionhighlighting the role of matrix methods in Data Science.To further support hands-on learning, the book is accompanied by a GitHub repository with Python labs, allowing students to implement the techniques covered and bridge the gap between theory and computation.With its clear explanations, practical insights, and balance of theory and application, Matrix Methods in Data Analysis is an invaluable resource for courses in applied Linear Algebra, Data Science, and introductory Machine Learning.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, 69115 Heidelberg 1028 pp. Englisch.…

Seller Inventory # 9783032113139

Title
Matrix Methods in Data Analysis
Author
Maria Isabel Bueno Cachadina
Publisher
Springer Dez 2026
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 10
303211313X
ISBN 13
9783032113139
Item weight
1,817 grams
Dimensions
241x160x46 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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