finelybook
A Matrix Algebra Approach to Artificial Intelligence
by 作者: Xian-Da Zhang
Pages: 820 pages
Publisher Finelybook 出版社: ; 1st ed. 2020 edition (23 May 2020)
Language 语言: English
ISBN-10 书号: 9811527695
ISBN-13 书号: 9789811527692
Book 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.
