
A Matrix Algebra Approach to Artificial Intelligence
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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.
Reviews / Votes
"The book is of very high relevance for students, professors and researchers involved in artificial intelligence (AI), the work is also of very high relevance for the mathematics community in general since it addresses the importance of matrix algebra for the field of AI and how major approaches and state-of-the-art algorithms rely on matrix algebra." (Carlos Pedro Gonçalves, zbMATH 1455.68010, 2021)
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