Synopsis
With the advent of modern technology, AI has become a part of day-to-day life. This accentuates the need for a book that keeps abreast of all state-of-the-art concepts in a simplified, explicit and elegant way, and that includes ample examples so that those new to the subject are able to comprehend the subject with ease. Divided into 21 chapters, this text fulfils this need. It presents all relevant concepts in a simplified way so that readers understand the basic concepts and develop the knowledge that can contribute to the building of advanced intelligent systems. Coverage includes problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future trends. This textbook is an invaluable learning tool for undergraduate and postgraduate students of computer science and engineering, and information technology.
About the Author
Parag Kulkarni, PhD, is CEO and Chief Scientist, EKLaT Research, Pune. Dr. Kulkarni is an entrepreneur, machine learning expert and innovation strategist. Through his consultations and innovative leadership, he has turned around fortune of more than one dozen start-ups in last two decades. He is pioneer of concepts systemic machine learning and systemic knowledge innovation. He is visiting researcher and faculty at various B-schools and technical schools of repute, including IITs, IIMs, Masaryk University, COEP, etc. Besides being the co-author of more than half a dozen books, he has also authored two books, namely, Knowledge Innovation Strategy and Reinforcement and Systemic Machine Learning for Decision Making as well as more than 220 research papers. Dr. Kulkarni is co-inventor of half a dozen patents as well. He has delivered more than 100 keynote addresses and numerous talks on machine learning, strategy and managing start-ups to deliver extraordinary impact on strategic perspective of thousands of researchers and professionals. He has worked very closely with Grassroots innovators and contributed to Grassroots innovations through his refreshing novel ideas in the fields of artificial intelligence and machine learning. His areas of interests include artificial intelligence, machine learning, business and knowledge innovation and data mining.
Prachi Joshi, PhD, is an Associate Professor, Department of Computer Engineering, MIT College of Engineering, Pune, India. Besides being involved in research activities, she has been teaching the graduate and postgraduate students also. She has also been co-guiding numerous projects in computer sciences at various engineering colleges. Her research areas include artificial intelligence and machine learning. She has a multiple research publications to her credit.
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