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Product Description

ARTIFICIAL INTELLIGENCE
 
Subject Code: NMCA 413
 
 
Unit-I
Introduction: Introduction to Artificial Intelligence, Foundations and History of Artificial Intelligence, Applications of Artificial Intelligence, Intelligent Agents, Structure of Intelligent Agents. Computer Vision, Natural Language Possessing.
 
Unit-II
Introduction to Search: Searching for Solutions, Uniformed Search Strategies, Informed Search Strategies, Local Search Algorithms and Optimistic Problems, Adversarial Search, Search for Games, Alpha – Beta Pruning.
 
Unit-III
Knowledge Representation and Reasoning: Propositional Logic, Theory of First Order Logic, Inference in First Order Logic, Forward & Backward Chaining, Resolution, Probabilistic Reasoning, Utility Theory, Hidden Markov Models (HMM), Bayesian Networks.
 
Unit-IV
Machine Learning: Supervised and Unsupervised Learning, Decision Trees, Statistical Learning Models, Learning with Complete Data – Naive Bayes Models, Learning with Hidden Data – EM Algorithm, Reinforcement Learning.
 
Unit-V
Pattern Recognition: Introduction, Design Principles of Pattern Recognition System, Statistical Pattern Recognition, Parameter Estimation Methods – Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA), Classification Techniques – Nearest Neighbor (NN) Rule, Bayes Classifier, Support Vector Machine (SVM), K – Means Clustering

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