# A Matrix Algebra Approach to Artificial Intelligence

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- eBook:A Matrix Algebra Approach to Artificial Intelligence
- Author:Xian-Da Zhang
- Edition:1st ed. 2020 Edition
- Categories:
- Data:June 4, 2020
- ISBN:9811527695
- ISBN-13:9789811527692
- Language:English
- Pages:852 pages
- Format:PDF, ePUB

**Book Description**

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.

**Content**

1. Basic Matrix Computation

2. Matrix Differential

3. Gradient and Optimization

4. Solution of Linear Systems

5. Eigenvalue Decomposition

Part II - Artificial Intelligence

6. Machine Learning

7. Neural Networks

8. Support Vector Machines

9. Evolutionary Computation

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**A Matrix Algebra Approach to Artificial Intelligence**

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