Grey Ballard (North Carolina Wake Forest University), Tamara G. Kolda (MathSci.ai)

Gebundenes Buch

Tensor Decompositions for Data Science

Beschreibung

Aimed at students in mathematics, computer science, statistics, engineering, and physical and life sciences, this book introduces the foundations of tensor decompositions, a data analysis methodology ubiquitous in machine learning, signal processing, neuroscience, quantum computing, financial analysis, market analysis, and image processing.

Autor

Grey Ballard is Associate Professor of Computer Science at Wake Forest University. He specializes in numerical linear algebra, high performance computing, and computational science, with much of his work focusing on numerical methods and software for tensor decompositions. His work has been recognized with a National Science Foundation (NSF) Faculty Early Career Development (CAREER) award, a SIAM Linear Algebra Best Paper Prize, and conference best paper awards at the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), IEEE International Parallel & Distributed Processing Symposium (IPDPS), and IEEE International Conference on Data Mining (ICDM).

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 419
• Erscheinungstermin: 21. August 2025
• Englisch
• Abmessung: 255mm x 179mm x 28mm
• Gewicht: 1056g
• ISBN-13: 9781009471671
• ISBN-10: 1009471678
• Artikelnr.: 73532894