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Product Specification
ISBN: 9789355287922
Book Size: 5.5 x 8.5 inches
Pages: 339
The book covers various topics in AI, including state-space search, adversarial search, propositional and predicate logic, and optimization algorithms. It also delves into different learning methods such as supervised, unsupervised, and reinforcement learning, as well as neural networks and ensemble learning techniques.
If you are asking for a specific description related to a particular section of the document, please clarify which topic or area you want a detailed description of, and I can assist you accordingly.
If you are referring to the overall description of the book, I can summarize the contents as follows:
- Focus: The book is aimed at exploring artificial intelligence techniques and their optimization processes. It provides insights into how AI systems solve complex problems, enhance decision-making, and optimize performance in various applications.
- Target Audience: This is intended for beginners and those looking to understand the fundamental principles of AI. It also seems suitable for advanced readers looking for practical implementations of AI algorithms.
- Content Breakdown: The book explains search algorithms, learning methods (including neural networks and reinforcement learning), and AI's role in solving real-world problems like optimization.
Let me know how you'd like to proceed or if you have a specific section in mind!
About The Author
Dr. G. Kumaresan is a guest faculty member in the Department of Computer Science at the Central University of Tamil Nadu, Thiruvarur, India. He previously served as an Assistant Professor at REVA University, Bangalore, excelling in cloud computing, data mining, and object-oriented programming. Dr. Kumaresan holds a PhD in Computer Applications from NIT, Tiruchirappalli, and an M.Tech from Bharathidasan University. He has received multiple prestigious awards, including the UGC National Doctoral Fellowship and Best Paper Award at the 2018 IEEE International Conference. His research spans AI, cryptography, and information security, with over ten publications indexed by Scopus and Web of Science.