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Unit 1. Introduction: Objective, scope and outcome of the course.
Unit 2. Introduction to AI and Intelligent Agent: Different Approach of AI, Problem Solving : Solving Problems by Searching, Uninformed search, BFS, DFS, Iterative deepening, Bi directional search, Hill climbing, Informed search techniques: heuristic, Greedy search, A* search, AO* search, constraint satisfaction problems.
Unit 3. Game Playing: Minimax, alpha-beta pruning, jug problem, chess problem, tiles problem
Unit 4. Knowledge and Reasoning: Building a Knowledge Base: Propositional logic, first order logic, situation calculus. Theorem Proving in First Order Logic. Planning, partial order planning. Uncertain Knowledge and Reasoning, Probabilities, Bayesian Networks.
Unit 5. Learning: Overview of different forms of learning, Supervised base learning: Learning Decision Trees, SVM, Unsupervised based learning, Market Basket Analysis, Neural Networks.
Unit 6. Introduction to Natural Language Processing: Different issue involved in NLP, Expert System, Robotics.
Rate it now.
komal gupta
14 Sep 2013
awsome book.Easy to read and learn .sufficient theory to study as per syllabus
ashish
14 Sep 2013
must read