A Matrix Algebra Approach to Artificial Intelligence is popular PDF and ePub book, written by Xian-Da Zhang in 2020-05-23, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, A Matrix Algebra Approach to Artificial Intelligence can be Read Online from any device for your convenience.
A Matrix Algebra Approach to Artificial Intelligence Book PDF Summary
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.
Detail Book of A Matrix Algebra Approach to Artificial Intelligence PDF
- Author : Xian-Da Zhang
- Release : 23 May 2020
- Publisher : Springer Nature
- ISBN : 9789811527708
- Genre : Computers
- Total Page : 844 pages
- Language : English
- PDF File Size : 8,9 Mb
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