Artificial Intelligence
Price: 795.00 INR
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ISBN:
9789361032752
Publication date:
20/02/2025
Papberback
504 pages
Price: 795.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9789361032752
Publication date:
20/02/2025
Papberback
504 pages
N. P. Padhy, S. P. Simon, M. Senthil Kumar
Artificial Intelligence is a textbook designed for engineering students, IT professionals and researchers. It bridges the gap between Artificial Intelligence (AI) and Intelligent Systems (IS), providing a thorough understanding of both the fields and their applications. The book covers fundamental concepts, real-world problem-solving techniques, and current trends in AI, with a focus on practical applications and Python programming.
Rights: World rights
N. P. Padhy, S. P. Simon, M. Senthil Kumar
Description
Artificial Intelligence is a textbook designed for engineering students, IT professionals and researchers. It bridges the gap between Artificial Intelligence (AI) and Intelligent Systems (IS), providing a thorough understanding of both the fields and their applications. The book covers fundamental concepts, real-world problem-solving techniques, and current trends in AI, with a focus on practical applications and Python programming.
The book explores AI topics such as knowledge representation, search strategies, and machine learning. It also delves into expert systems, fuzzy systems, neural networks, and nature-inspired algorithms. Each chapter includes detailed explanations, examples, and illustrations to facilitate in-depth understanding. This book is an essential resource for students, educators, and researchers seeking to deepen their knowledge of AI and IS, and to apply these concepts to solve complex engineering problems.
Dr. Narayana Prasad Padhy, Professor (HAG) in the Department of Electrical Engineering at IIT Roorkee, is currently serving as the Chairperson (I/C) of the Board of Governors MNIT Jaipur, the Director of MNIT Jaipur and the Director of IIIT Kota, the Chair Professor of IIT Palakkad Technology IHub Foundation (IPTIF). He has also served as Dean of Academic Affairs at IIT Roorkee, the Founder Head of the Mehta Family School of Data Science and Artificial Intelligence, Professor In-Charge Training and Placement, NEEPCO, and Institute Chair Professor at IIT Roorkee.
Dr. Sishaj P Simon, Professor and head at the Department of Electrical Electronics
Engineering at the National Institute of Technology (NIT), Tiruchirappalli. He was born in India. He received the B.Eng. degree in electrical and electronics engineering, the M.Eng. degree in applied electronics both from Bharathiar University, Coimbatore, Tamil Nadu, India, in 1999 and 2001, respectively, and the Ph.D. degree in power system engineering from the Indian Institute of
Technology (IIT), Roorkee, Uttarakhand, India, in 2006.
Dr. M. Senthil Kumar, is currently Assistant Professor, Department of Electrical Engineering, National Institute of Technology, Patna. He was born in Tamilnadu, India. He holds a B.E. in Electrical and Electronics Engineering (2008), an M.E. in Power System Engineering (2012), from Anna University, Chennai and a PhD in Electrical and Electronics Engineering (2018) from National Institute of Technology, Tiruchirappalli.
N. P. Padhy, S. P. Simon, M. Senthil Kumar
Table of contents
Artificial Intelligence: History and Applications
Knowledge Representation: Reasoning, Issues, and Acquisition
Heuristic Search
State Space Search: Implementation and Applications
Machine Learning
Expert Systems
Fuzzy Systems
Artificial Neural Networks
Deep Learning Neural Network
Nature Inspired Intelligent System
N. P. Padhy, S. P. Simon, M. Senthil Kumar
Features
- Includes real-world examples to illustrate concepts
- Contains illustrations along with python programming in Intelligent Systems
- Covers machine learning concepts with ample exercises to learn the concept
- Includes latest topics such as deep learning neural network, machine learning and nature inspired algorithms.
- Provides numerous illustrations, examples, and end-chapter exercises for better retention of the concept
N. P. Padhy, S. P. Simon, M. Senthil Kumar
Description
Artificial Intelligence is a textbook designed for engineering students, IT professionals and researchers. It bridges the gap between Artificial Intelligence (AI) and Intelligent Systems (IS), providing a thorough understanding of both the fields and their applications. The book covers fundamental concepts, real-world problem-solving techniques, and current trends in AI, with a focus on practical applications and Python programming.
The book explores AI topics such as knowledge representation, search strategies, and machine learning. It also delves into expert systems, fuzzy systems, neural networks, and nature-inspired algorithms. Each chapter includes detailed explanations, examples, and illustrations to facilitate in-depth understanding. This book is an essential resource for students, educators, and researchers seeking to deepen their knowledge of AI and IS, and to apply these concepts to solve complex engineering problems.
Dr. Narayana Prasad Padhy, Professor (HAG) in the Department of Electrical Engineering at IIT Roorkee, is currently serving as the Chairperson (I/C) of the Board of Governors MNIT Jaipur, the Director of MNIT Jaipur and the Director of IIIT Kota, the Chair Professor of IIT Palakkad Technology IHub Foundation (IPTIF). He has also served as Dean of Academic Affairs at IIT Roorkee, the Founder Head of the Mehta Family School of Data Science and Artificial Intelligence, Professor In-Charge Training and Placement, NEEPCO, and Institute Chair Professor at IIT Roorkee.
Dr. Sishaj P Simon, Professor and head at the Department of Electrical Electronics
Engineering at the National Institute of Technology (NIT), Tiruchirappalli. He was born in India. He received the B.Eng. degree in electrical and electronics engineering, the M.Eng. degree in applied electronics both from Bharathiar University, Coimbatore, Tamil Nadu, India, in 1999 and 2001, respectively, and the Ph.D. degree in power system engineering from the Indian Institute of
Technology (IIT), Roorkee, Uttarakhand, India, in 2006.
Dr. M. Senthil Kumar, is currently Assistant Professor, Department of Electrical Engineering, National Institute of Technology, Patna. He was born in Tamilnadu, India. He holds a B.E. in Electrical and Electronics Engineering (2008), an M.E. in Power System Engineering (2012), from Anna University, Chennai and a PhD in Electrical and Electronics Engineering (2018) from National Institute of Technology, Tiruchirappalli.
Table of contents
Artificial Intelligence: History and Applications
Knowledge Representation: Reasoning, Issues, and Acquisition
Heuristic Search
State Space Search: Implementation and Applications
Machine Learning
Expert Systems
Fuzzy Systems
Artificial Neural Networks
Deep Learning Neural Network
Nature Inspired Intelligent System
Sini Raj Pulari , Umadevi Maramreddy & Shriram K. Vasudevan
