Artificial Intelligence is a quickly changing field that has gone from theory and promise to delivery and practice in a meteoric way in recent years. This text provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student learning. Advanced topics cover neural nets, genetic algorithms, and complex board games. A companion DVD is included with resources, simulations, and figures from the book. Numerous instructors resources are available upon adoption."
In the height of the AI/ML craze, this book brings everything back down to a proper perspective of the inner-mechnisms of Artificial Intelligence. Mathematic philosophy in combination with psychological analysis of how humans navigate solutions, Artificial Intelligence research is a realm where both are taken into account on the most complex of levels. This book guides the reader through the intertwining concepts and helps polish the understandings of the mechanisms that drive Machine Learning and Artificial Intelligence.
Overview over the topics of artificial intelligence, but lighter than the book from Russell/Norvig. Some parts are badly explained or even wrong. Read "Artificial Intelligence - A Modern Approach" instead.
15 years into the century and Stephen Lucci already knows best. A book done with the quality of a blog post named 'best phones of 2017' and posted December 2016.
Highly technical book on the mathematics and programming background of AI. Great addition to the books on AI that are aimed at the more general public.