A Matrix Algebra Approach to Artificial Intelligence /

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 fo...

Full description

Bibliographic Details
Main Author:	Zhang, Xian-Da (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Subjects:	Artificial intelligence. Computer science-Mathematics. Matrix theory. Algebra. Artificial Intelligence. Math Applications in Computer Science. Linear and Multilinear Algebras, Matrix Theory. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Part 1. Introduction to Matrix Algebra
Chapter 1. Basic Matrix Computation
Chapter 2. Matrix Differential
Chapter 3. Gradient and Optimization
Chapter 4. Solution of Linear Systems
Chapter 5. Eigenvalue Decomposition
Part 2. Artificial Intelligence
Chapter 6. Machine Learning
Chapter 7. Neural Networks
Chapter 8. Support Vector Machines
Chapter 9. Evolutionary Computation.