Artificial Intelligence Handbook: Business Applications
Author: Joel G G Siegel
Written in straightforward language that even nontechnical managers can easily understand, The Artificial Intelligence Handbook delivers an inside look at AI software and its myriad applications in contemporary business. A comprehensive resource, the book clearly defines and explains AI, as well as offers practical insight on how to employ AI to make better—and faster—business decisions. With its practical applications and step-by-step instructions, this valuable "how-to" guide will be referenced again and again.
Table of Contents:
| About the Authors | ||
| What This Book Will Do For You | ||
| Ch. 1 | Introduction | 1 |
| Ch. 2 | Artificial Intelligence and Expert Systems | 23 |
| Ch. 3 | Neural Networks | 41 |
| Ch. 4 | Artificial Intelligence in Business Finance | 49 |
| Ch. 5 | Artificial Intelligence in Accounting | 93 |
| Ch. 6 | Legal Applications | 135 |
| Ch. 7 | Artificial Intelligence in Marketing | 149 |
| Ch. 8 | Expert Systems and Neural Networks in Manufacturing | 171 |
| App. I | Artificial Intelligence Software | 181 |
| Glossary | 189 | |
| Index | 223 |
New interesting book: Flag or George H W Bush
Project Risk Management: Processes, Techniques and Insights
Author: Chris Chapman
Based on sound conceptual foundations yet developed to meet practical concerns, Project Risk Management has become recognized as a standard work on its subject. It sets out the key issues and concepts involved in effective risk and uncertainty management in a clear and accessible way, providing a comprehensive discussion of risk management processes set firmly in the context of the project management task as a whole and focused on improving performance. The Second Edition has been extensively revised and updated to meet the new challenges of the field, and offers methodologies and techniques that are applicable to all kinds and all sizes of project.
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