1 outline of Artificial intelligence in urdu hindi | how to learn artificial intelligence for free

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1 outline of Artificial intelligence in urdu hindi | how to learn artificial intelligence for free


Introduction: What is AI, Major AI areas, History of AI, Intelligent Agents: Agents and environments, Rationality
PEAS (Performance measure, Environment, Actuators, Sensors) Environment types
Intelligent Agents: Agent Types …. Problem solving through Uninformed search: Breadth First Search
Problem solving through Uninformed search: Depth First Search
Problem solving through Un informed search: Iterative DFS, Comparison of Search Algorithms Assignment Problem solving through informed search: Heuristically Informed Methods, Hill Climbing, Beam Search,
Problem solving through informed search: Best First Search A*Procedure,
Problem solving through informed search: Adversarial Search, Min-Max Procedure, Static Evaluation Function, Alpha Beta Pruning
Expert Systems: Introduction to Expert Systems, Knowledge Base Expert System Their Types and Application,
Expert Systems: Working of Expert Systems with its different components, Typical examples, its benefits, the down side
Expert Systems: Developing an Expert System, Identifying the problem
Neural Network: Introduction to Artificial Neural Networks (ANN), ANN Applications
Neural Network: Topologies of ANN, Single Layer perception (SLP).
Back Prop algorithms: Multi Layer Perception (MLP), Back Prop Algorithm
Neural Network: Implementation for AND, OR, XOR
Genetic Algorithm: Introduction to Evolutionary Computing, Genetic Algorithm (GA)
Genetic Algorithm: Applications of Genetic Algorithm and its examples , Genetic operators (Crosse over and Mutation) and its applications
Particle Swarm Optimization (PSO): Introduction to Swarm Intelligence (SI), Particle Swarm Optimization (PSO), Pseudo Code and Example
Fuzzy System: Fuzzy Set Theory, Fuzzy Inference
Classification: Decision Tree, Bayes Classification
Mining Frequent Patterns, Association and Correlation
Introduction to Computer Vision (CV)
Pattern Recognition
Machine Learning: Introduction to Learning, Supervised Learning
Machine Learning: Unsupervised Learning, K-means Clustering Algorithm
Advance Topics in A-I


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