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Indian Institute of Technology Guwahati
Fundamentals of Artificial Intelligence [Introduction].Lec 01: Introduction to AI.Lec 02: Problem Solving as State Space Search.Lec 03: Uniformed Search.Lec 04: Heuristic Search.Lec 05: Informed Search.Lec 06: Constraint Satisfaction Problems.Lec 07: Searching AND/OR Graphs.Lec 08: Game Playing.Lec 09: Minimax + Alpha-Beta.Lec 10: Introduction to Knowledge Representation.Lec 11: Propositional Logic.Lec 12: First Order Logic -I.Lec 13: First Order Logic -II.Lec 14: Inference in First Order Logic - I.Lec 15: Inference in FOL - II.Lec 16: Answer Extraction.Lec 17: Procedural Control of Reasoning.Lec 18: Reasoning under Uncertainty.Lec 19: Bayesian Network.Lec 20: Decision Network.Lec 21: Introduction to Planning.Lec 22: Plan Space Planning.Lec 23: Planning Graph and GraphPlan.Lec 24: Practical Planning and Acting.Lec 25: Sequential Decision Problems.Lec 26: Making Complex Decisions.Lec 27: Introduction to Machine Learning.Lec 28: Learning Decision Trees.Lec 29: Linear Regression.Lec 30: Support Vector Machines.Lec 31: Unsupervised Learning.Lec 32: Reinforcement Learning.Lec 33: Learning in Neural Networks.Lec 34: Deep Learning: A Brief Overview.
NPTEL IIT Guwahati
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