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£157.05

Springer A Matrix Algebra Approach to Artificial Intelligence

Name: A Matrix Algebra Approach to Artificial Intelligence
Brand: Springer
Price: 157.05 GBP
Availability: InStock

AI & Machine Learning

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Description

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.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 9811527695
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 23 May 2020
Listed Since: 07 December 2019

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Springer A Matrix Algebra Approach to Artificial Intelligence

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