Artificial Intelligence: Building Intelligent Systems

Parag Kulkarni,Prachi Joshi

ISBN 10: 8120350464 / ISBN 13: 9788120350465

Published by PHI Learning 30 J, 2015

About this Item

Artificial Intelligence: Building Intelligent Systems This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Bibliographic Details

• Title: Artificial Intelligence: Building Intelligent Systems
• Publisher: PHI Learning 30 J
• Publication Date: 2015
• Language: English
• ISBN 10: 8120350464
• ISBN 13: 9788120350465
• Binding: Paperback
• Condition: Very Good

About this title

Synopsis

ARTIFICIAL INTELLIGENCE : Building Intelligent Systems-PHI-pARAG, JOSHI, PRACHI-2015-EDN-1

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.