Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author…
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Author : Peter Norvig
Genre : Computers
Summary : Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
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Author : Peter Norvig
Genre : Internet games
Summary : Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
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Author : Dr. S. K. Sahoo, Dr. Navdeep Kaur Saluja, Dr. Soumitra Subodh Pande, Dr. U. D. Prasan
Genre : Computers
Summary : Artificial Intelligence and Deep Learning is a comprehensive academic text that explores the principles, techniques, and applications of AI with a focus on deep learning methodologies. The book covers foundational topics in artificial intelligence, including intelligent agents, machine learning, neural networks, and natural language processing, and delves deeply into deep learning concepts such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, generative models, and reinforcement learning. It also highlights practical applications in computer vision, speech recognition, natural language understanding, robotics, and healthcare. By combining theoretical concepts with hands-on examples, case studies, and real-world projects, the book equips students and professionals with the skills needed to design, implement, and optimize intelligent systems using deep learning techniques. Suitable for undergraduate, postgraduate, and industry learners in computer science, AI, and data science disciplines.
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Genre : Algorithms
Summary :
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Author : Yoav Shoham
Genre : Computers
Summary : This unique book is a broad, clear presentation of artificial intelligence (AI) problem-solving techniques. It selects the most important among the well-defined algorithms and procedures in the field, explains them in plain language, and, where appropriate, provides ALGOL-like descriptions of them. Every technique is implemented in Prolog, a language that is quickly learned and allows for easy experimentation in a learning environment. The book includes complete source listings, and the software is available online. This book is ideal for hands-on courses in AI programming. It is also a useful primary or supplementary text in general introductory AI courses and a complete sourcebook for the practitioner.
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Author : Dr. A. Manikandan, Dr. C. Gayathri, M. Sathya Sundaram, Ms. B. Niranjana Devi, Ms. S. Saranya Devi
Genre : Computers
Summary : Foundations of Artificial Intelligence and Machine Learning introduces the basic principles and concepts behind intelligent systems. It covers problem solving, knowledge representation, and reasoning techniques. Fundamental machine learning approaches such as supervised, unsupervised, and reinforcement learning are explained. The subject discusses algorithms for classification, regression, and clustering. Data preprocessing and feature selection are essential components of learning models. Neural networks and deep learning basics are introduced. Model evaluation and performance metrics are emphasized. Ethical issues and responsible use of AI are also addressed. Overall, it provides a strong theoretical base for advanced AI and ML applications.
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Author : C. V. Arya
Genre : Artificial intelligence
Summary :