Artificial Intelligence UNIT 2 || AL/AD/AI-304 || RGPV || 3rd Semester || ONE SHOT скачать в хорошем качестве

Artificial Intelligence UNIT 2 || AL/AD/AI-304 || RGPV || 3rd Semester || ONE SHOT

Welcome to Codes With Duo In This Video We Cover All The Topics is Related to Artificial Intelligence Unit 2 AL-304 || ALL VIDOES ARE HELPFUL FOR ARTIFICIAL INTELLIGENCE AND DATA SCIENCE (AIDS) , COMPUTER SCIENCE ENGINERRING (CSE) , CYBER SECURITY , ARTIFICAL INTELLIGENCE AND MACHINE LEARNING (AIML) UNIT 1 :-    • Artificial Intelligence UNIT 1 || AL/AD/AI...   UNIT 3 :-    • Artificial Intelligence UNIT 3 || AL/AD/AI...   UNIT 4 :-    • Artificial Intelligence UNIT 4 || AL/AD/AI...   JOIN OUR WHATSAAP GROUP :- https://chat.whatsapp.com/GWL6O1yyd48... JOIN OUR TELEGRAM CHANNEL :- https://t.me/codes_with_duo TOPICS COVERED IN THIS VIDEO :- 1. Knowledge Representation 2. Problems in representing knowledge 3. knowledge representation using propositional and predicate logic 4. comparison of propositional and predicate logic 5. Resolution, refutation, deduction 6. theorem proving 7. inferencing 8. monotonic and non-monotonic reasoning. #communication #newvideo #education #rgpvupdate #ai #machinelearning #nlp #naturallanguageprocessing #artificialintelligence #art #computervision #deeplearning #deepai #viral #aiforbeginners #visionair #oneshotlecture #StudywithCodes_with_duo #exampreparation #RGPV3rdSem #nlp 1. Fundamental of Artificial Intelligence, history, motivation and need of AI, Production systems, Characteristics of production systems , goals and contribution of AI to modern technology, search space, different search techniques: hill Climbing, Best first Search, heuristic search algorithm, A* and AO* search techniques etc. 2. Knowledge Representation, Problems in representing knowledge, knowledge representation using propositional and predicate logic, comparison of propositional and predicate logic, Resolution, refutation, deduction, theorem proving, inferencing, monotonic and non-monotonic reasoning. 3. Probabilistic reasoning, Baye's theorem, semantic networks, scripts, schemas, frames, conceptual dependency, forward and backward reasoning. 4. Game playing techniques like minimax procedure, alpha-beta cut-offs etc, planning, Study of the block world problem in robotics, Introduction to understanding, natural language processing (NLP), Components of NLP, application of NLP to design expert systems. 5. Expert systems (ES) and its Characteristics, requirements of ES, components and capability of expert systems, Inference Engine Forward & backward Chaining, Expert Systems Limitation, Expert System Development Environment, technology, Benefits of Expert Systems. al304 rgpv ai304 rgpv rgpv ke liye kha se pade