SKU/Artículo: AMZ-1009471678

Tensor Decompositions for Data Science

Format:

Hardcover

Hardcover

Kindle

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
1.27 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • 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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