Tensor Decompositions for Data Science

Discover the essential guide to tensor decompositions with Tensor Decompositions for Data Science, authored by experts in the field. Published by Cambridge University Press in 2025, this comprehensive hardback edition spans 419 pages and is tailored for students and professionals in mathematics, computer science, statistics, engineering, and the physical and life sciences.

This book delves into the foundational concepts of tensor decompositions, a powerful data analysis technique that plays a crucial role in various applications, including machine learning, signal processing, neuroscience, quantum computing, financial analysis, market analysis, and image processing. Whether you are a student eager to expand your knowledge or a professional seeking to enhance your skill set, this resource provides the necessary insights and methodologies to excel in the evolving landscape of data science.