Ballard G , Kolda T Tensor Decompositions for Data Science 2025
General:
Name: Ballard G , Kolda T Tensor Decompositions for Data Science 2025
Format: pdf
Size: 46.98 MB
Book:
Title: Tensor Decompositions for Data Science
Author: Grey Ballard, Tamara G. Kolda
Language: polski
Year: 2025
Subjects: Computers, Computers – General & Miscellaneous, General & Miscellaneous Computing
Publisher: Cambridge University Press
ISBN: 9781009471671
Total pages: 423
Description:
Tensors are essential in modern day computational and data sciences. This book explores the foundations of tensor decompositions, a data analysis methodology that is ubiquitous in machine learning, signal processing, chemometrics, neuroscience, quantum computing, financial analysis, social science, business market analysis, image processing, and much more. In this self-contained mathematical, algorithmic, and computational treatment of tensor decomposition, the book emphasizes examples using real-world downloadable open-source datasets to ground the abstract concepts. Methodologies for 3-way tensors (the simplest notation) are presented before generalizing to d-way tensors (the most general but complex notation), making the book accessible to advanced undergraduate and graduate students in mathematics, computer science, statistics, engineering, and physical and life sciences. Additionally, extensive background materials in linear algebra, optimization, probability, and statistics are included as appendices.
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