<p/><br></br><p><b> About the Book </b></p></br></br><p>The book introduces key Artificial Intelligence (AI) concepts in an easy-to-read format. The second edition includes more in-depth technical content and covers recent topics in AI.</p><p/><br></br><p><b> Book Synopsis </b></p></br></br><p>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, superintelligence, etc. with everyday examples. The second edition includes more in-depth technical content and covers recent topics in AI.</p><p/><br></br><p><b> Review Quotes </b></p></br></br><br><p>About the second edition: </p><p> </p><p>The book introduces key AI concepts in an easy-to-read format with examples and illustrations. The goal is to keep the explanations as simple as possible. While the book includes some algorithms, flowcharts, and technical details, a reader should get an idea of basic AI concepts even if they don't go in-depth into those contents. A beginner may want to skip the depth content in your first reading.</p><p> </p><p>For a professional and wish to get an overview of AI, this book provides some essential background. A robotics enthusiast wanting to understand the broader aspects of AI may find this book useful. A student taking an AI course may 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 a reader may find useful for delving into more profound aspects of AI.</p><p><br></p><p>The first edition was very well received all over the world. The book received great reviews and encouraging feedback from readers, professionals, and well-wishers. As readers wanted, the second edition includes 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 there is more advanced material without severely compromising the simplicity. </p><p><br></p><p>This title is listed as BookAuthority's "best AI Basics books of all time!"</p><br>