Artificial Intelligence Simplified: Understanding Basic Concepts - Softcover

George, Dr Binto; Carmichael, Gail

Softcover

ISBN 10: 1944708030 ISBN 13: 9781944708030

Publisher: CSTrends LLP, 2021

Synopsis

The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. Someone with basic knowledge in Computer Science can have a quick overview of AI: heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, neural networks, etc. with everyday examples. The second edition includes more in-depth technical content and covers recent topics in AI.

About this title

About the Authors

Dr. Binto George is a professor in the School of Computer Sciences at Western Illinois University (WIU), Macomb, IL, USA. Before joining WIU, he worked at Rutgers University. Dr. George received his Ph.D. from the Indian Institute of Science, Bangalore. He has authored several journal articles, conference papers, book chapters, and books. As the principal investigator, Dr. George has led the National Science Foundation (NSF) funded research to incorporate usable security into the computer science curriculum. He loves teaching and developing new courses. Dr. George is a partner of the CSTrends LLP, an organization committed to making Computer Science accessible for all. Dr. George is a member of the IEEE, IEEE Computer Science Society, and the Association for Computing Machinery (ACM). Dr. George actively participates in community service and curriculum development activities.

Gail Carmichael is currently a technical educator at Shopify, where she led the design and launch of the work-integrated learning program Dev Degree. She previously worked as a full-time instructor at Carleton University, where she taught both majors and non-majors a variety of computer science courses. She is particularly passionate about teaching beginners and enticing them to fall in love with computer science, whether as a major or as a tool to help them in their own fields. She co-founded Carleton University's Women in Science and Engineering, helped launch the now Ontario wide Go Code Girl high school outreach program, and has developed and taught many computing workshops and courses for folks of all ages.

From the Back Cover

Topics Covered in Second Edition:

* Heuristic Search Methods

* Game Trees

* Planning

* Genetic Algorithms

* Expert Systems

* Machine Learning

* Neural Networks

* Deep Learning

* Natural Language Processing

and others.

From the Inside Flap

The book introduces key AI concepts in an easy-to-read format with examples and illustrations. Our goal is to keep our explanations as simple as possible. While we have included some algorithms, flowcharts, and technical details, you should be able to get an idea of basic AI concepts even if you don't go in-depth into those contents. If you are a beginner, you may want to skip the depth content in your first reading.

If you are a professional and wish to get an overview of AI, this book will provide you with some essential background to begin. If you are a robotics enthusiast wanting to understand the broader aspects of AI, you may find this book useful. If you are a student taking an AI course, you can use this as an introductory textbook to develop a solid understanding of the basic AI concepts. This book includes numerous bibliographical references and resources that you may find useful for delving into more profound aspects of AI.

Our first edition was very well received all over the world. We received fascinating reviews and encouraging feedback from readers, professionals, and well-wishers. Based on inputs received, we prepared this second edition, including more relevant topics such as Generative Adversarial Network (GAN), Recurrent Neural Network (RNN), Support Vector Machine (SVM), and artificial vision. A few readers wanted more depth content. So we added more advanced material without severely compromising the simplicity. A beginner can skim over the depth content for your first reading.

Edition details

• Publisher: CSTrends LLP
• Publication date: 2021
• Language: English
• ISBN 10: 1944708030
• ISBN 13: 9781944708030
• Binding: Paperback
• Edition number: 2
• Number of pages: 238
• Editor: Mathai Susan