Tensors For Data Processing: Theory, Methods And Applications 1st Edition

Explore the power of tensors in data processing with “Tensors For Data Processing: Theory, Methods And Applications.” This comprehensive guide delves into the theoretical foundations of tensor algebra and calculus, providing a solid understanding of these mathematical tools. Discover practical methods for applying tensors in various data processing tasks, including dimensionality reduction, feature extraction, and pattern recognition.

The book explores tensor decompositions, tensor network algorithms, and their applications in machine learning, signal processing, and computer vision. Learn how to leverage tensors to efficiently represent and manipulate complex data structures, unlocking new possibilities for data analysis and modeling.

Benefit from real-world examples and case studies that illustrate the effectiveness of tensor-based approaches in solving challenging data processing problems. This first edition offers a valuable resource for researchers, engineers, and students seeking to master the art of tensor data processing. Uncover the potential of tensors to transform your data analysis workflows.