ARTIFICIAL INTELLIGENCE: Building Intelligent Systems

by PARAG KULKARNI, PRACHI JOSHI

Overview

A detailed introduction to artificial intelligence, covering the core concepts, algorithms, and applications of AI in modern technology.

Product Details

ISBN-13:	9788120350465
Publisher:	PHI Learning
Publication date:	02/26/2015
Sold by:	Barnes & Noble
Format:	eBook
File size:	6 MB

About the Author

Parag Kulkarni, PhD, is Director and Chief Scientist, Anomaly Solutions Pvt. Ltd., and CEO and Chief Scientist, EKLaT Research. 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. 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.

Table of Contents

Preface • Acknowledgements1. Introduction to Artificial Intelligence2. Problem Solving3. Uninformed Search4. Informed Search5. Intelligent Agent6. Constraint Satisfaction Problems7. Knowledge and Reasoning8. Uncertain Knowledge and Reasoning9. Planning10. Learning11. Expert Systems12. Natural Language Processing13. Decision Theory14. Pattern Recognition15. Game Playing16. Perception and Action17. Neural Network-based Learning18. Fuzzy and Hybrid Intelligent Systems19. Applications of Artificial Intelligence20. Advance Topics in Artificial Intelligence21. Concluding Remarks: AI–Present and FutureAppendices • Bibliography • Index