Artificial Intelligence by Prof. Hugh Murrell
This note covers the following topics: Introduction to Artificial Intelligence, State Space, Representation and Search, Prolog Introduction, Lists, Predicates and Relations, IO, Arithmetic and Control flow, Recursion with Examples, Games, Heuristics, Game Playing, Knowledge Representation, Threshold Logic Units and Artificial Neural networks.
Author(s): Prof. Hugh Murrell
NA Pages 
Digital Notes on Artificial Intelligence by Sri Indu College of Engineering and Technology
This note explains the following topics, Problem Solving by Search, Knowledge and Reasoning, Planning Classical Planning, Uncertain knowledge and Learning.
Author(s): Department of CSE, Sri Indu College of Engineering and Technology
140 Pages
Lecture note on Artificial Intelligence
This note describes the following topics, introduction to AI and production systems, Representation of Knowledge, Knowledge Representation using predicate logic, Knowledge Inference, Planning and Machine Learning, Expert Systems and Meta Knowledge.
Author(s): St Anne College of Engineering and Technology
173 Pages
Digital notes on Artificial Intelligence
This lecture note covers topics starting with an introduction to AI and progressing through various search strategies and A search. The text delves into challenges such as searching with partial observations and constraint satisfaction problems, introducing techniques like Alpha Beta Pruning. It explores reasoning methods like forward and backward chaining, syntax and semantics of FirstOrder Logic, knowledge engineering, resolution, classical planning, and planning with state space search.it also handles with topics like acting in nondeterministic domains and multiagent planning, Bayes Rule, Bayesian Networks and Dempster Shafer Theory.It includes learning decision trees and the role of knowledge in learning.
Author(s): Department of Information Technology , Malla Reddy College Of Engineering and Technology
143 Pages
Machine Learning Advanced Techniques and Emerging Applications
Hamed Farhadis online book Machine Learning, Advanced Techniques and Emerging Applications and quot, 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 datadriven 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
