This book provides comprehensive coverage of combined Artificial
Intelligence (AI) and Machine Learning (ML) theory and
applications. Rather than looking at the field from only a
theoretical or only a practical perspective, this book unifies both
perspectives to give holistic understanding. The first part
introduces the concepts of AI and ML and their origin and current
state. The second and third parts delve into conceptual and
theoretic aspects of static and dynamic ML techniques. The forth
part describes the practical applications where presented
techniques can be applied. The fifth part introduces the user to
some of the implementation strategies for solving real life ML
problems. The book is appropriate for students in graduate and
upper undergraduate courses in addition to researchers and
professionals. It makes minimal use of mathematics to make the
topics more intuitive and accessible. Presents a full reference to
artificial intelligence and machine learning techniques - in theory
and application; Provides a guide to AI and ML with minimal use of
mathematics to make the topics more intuitive and accessible;
Connects all ML and AI techniques to applications and introduces
implementations.
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