Artificial Intelligence by Prof. Hugh Murrell

Digital Notes on Artificial Intelligence by Sri Indu College of Engineering and Technology

Sri Indu College of Engineering Technology, Digital Notes on Artificial Intelligence provides a focused overview of basic AI concepts. The book begins with problem solving through analysis, teaching algorithms and methods for effective implementation and execution difficult problem solving. It then discusses knowledge and reasoning, discusses methods of representation, and introduces logical reasoning to support intelligent decision-making. The section on classical planning examines sequential strategies for achieving specific goals, with an emphasis on structured approaches to problem solving. Finally, comments on knowledge and learning deficits are discussed, focusing on ways to deal with incomplete or ambiguous information and options that AI systems can take to improve their performance improve over time This resource provides a clear and well-structured introduction to important AI topics, built on computer science technology It should provide a solid foundation for students and professionals.

Author(s): Department of CSE, Sri Indu College of Engineering and Technology

140 Pages

Digital notes on Artificial Intelligence

Department of Information Technology's 'Digital Notes on Artificial Intelligence' at Malla Reddy College of Engineering and Technology provides a comprehensive overview of AI concepts. It begins with an introduction to AI, setting up more advanced topics . The essays include a variety of search methods, including A Search, and overcome challenges such as partial discovery searches. Techniques such as Alpha-Beta Pruning have been introduced in order to optimize the search process. The text explores ways of understanding including forward and backward chains, and delves into the syntax and semantics of first-order meaning. This includes all knowledge technologies, decision-making, and classical planning including state space exploration. In addition, it involves practice in random environments, multidimensional design, probabilistic reasoning using Bayes rules, Bayesian networks, Dempster-Shafer theorem The presentation goes on to say useful things on such as learning decision trees and the importance of knowledge in curriculum design.

Author(s): Department of Information Technology , Malla Reddy College Of Engineering and Technology

143 Pages

Explorations in Artificial Intelligence and Machine Learning

Professor Roberto V. Jikari's PDF titled 'Exploring Artificial Intelligence and Machine Learning' provides a comprehensive overview of key concepts in AI and ML It begins with an introduction to machine learning, with algorithms and methods that it begins to include. The paper then examines The Bayesian Approach to Machine Learning, emphasizing theoretical possibilities and statistical methods. It provides a comprehensive review of Hidden Markov Models, and explains their use in sequential forecasting. The introduction to reinforcement learning is about how employees learn optimal behavior through interaction with their environment. Deep Learning for Feature Representation discusses advanced techniques for extracting meaningful features from data using deep networks. The section on Neural Networks and Deep Learning explores neural network design and training in detail. Finally, the text discusses AI in general, focusing on the challenges and implications of building highly intelligent machines.

Author(s): Prof. Roberto V. Zicari

178 Pages

Machine Learning Advanced Techniques and Emerging Applications

Hamed Farhadi's online book Machine Learning: Advanced Techniques and Emerging Applications" explores the latest developments in machine learning and their various applications It explores recent developments in machine learning techniques, and focuses on how these innovations are changing various industries. The book emphasizes the integration of these techniques into smart cities, where machine learning enhances urban management and infrastructure through data-driven solutions This includes the role of automation in, including how advanced algorithms simplify manufacturing, improve efficiency and enable customization In terms of providing details , the text explores the role of machine learning in emerging industries, and shows how startups and innovations can use these technologies to gain competitive advantage and drive innovation. Overall, the book provides a comprehensive overview of how advanced machine learning techniques are being used in various .

Author(s): Hamed Farhadi

NA Pages