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A Matrix Algebra Approach To Artificial Intelligence 1st Edition Xianda Zhang

  • SKU: BELL-11147972
A Matrix Algebra Approach To Artificial Intelligence 1st Edition Xianda Zhang
$ 31.00 $ 45.00 (-31%)

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A Matrix Algebra Approach To Artificial Intelligence 1st Edition Xianda Zhang instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 8.26 MB
Pages: 854
Author: Xian-Da Zhang
ISBN: 9789811527692, 9811527695
Language: English
Year: 2020
Edition: 1

Product desciption

A Matrix Algebra Approach To Artificial Intelligence 1st Edition Xianda Zhang by Xian-da Zhang 9789811527692, 9811527695 instant download after payment.

Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.

The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines, including, but not limited to, computer science, mathematics and engineering.  

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