— EBook in PDF Format — Will be Available Instantly after Successful Payment. Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

This compact and easy-to-read book describes in detail the basic principles of Decision Support Systems (DSS). The book also gives a comprehensive account of the various models used in decision making process, the many facets of DSS, and explains how they are implemented. Further, it discusses the significance of business reengineering, the role of client-server technology, Internet and Intranet, and analyzes the concepts of Database Management Systems (DBMS), model management and various GUIs.Designed as a textbook for the undergraduate and postgraduate students of Computer Science and Management, this book would also be of considerable assistance to the practising professional. JANAKIRAMAN, V.

V.S.JANAKIRAMAN, PH.D. Professor of Computer Science, PSG College of Arts and Commerce, Coimbatore. An industrial information technology consultant to a number of companies, Professor Janakiraman is a life member of Indian Society for Technical Education (ISTE). He has published a number of articles in reputed national and international journals and has co-authored a book on AI and Expert Systems SARUKESI, K. SARUKESI, PH.D.

Professor of Computer Science, Bharathiyar University, Coimbatore. He is a co-author of the book on AI and Expert Systems.

CRC Press English 2018 ISBN-10: 480 Pages PDF 8.13 MB by Richard E. Neapolitan (Author), Xia Jiang (Author) The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning.

The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

About the Author Richard E. Neapolitan is professor emeritus of computer science at Northeastern Illinois University and a former professor of bioinformatics at Northwestern University. He is currently president of Bayesian Network Solutions. His research interests include probability and statistics, decision support systems, cognitive science, and applications of probabilistic modeling to fields such as medicine, biology, and finance. Resident evil 5 save game editor xbox 360 download free. Neapolitan is a prolific author and has published in the most prestigious journals in the broad area of reasoning under uncertainty. He has previously written five books, including the seminal 1989 Bayesian network text Probabilistic Reasoning in Expert Systems; Learning Bayesian Networks (2004); Foundations of Algorithms (1996, 1998, 2003, 2010, 2015), which has been translated into three languages; Probabilistic Methods for Financial and Marketing Informatics (2007); and Probabilistic Methods for Bioinformatics (2009).

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