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Fundamentals of Artificial Intelligence

NPTEL and Indian Institute of Technology Guwahati via YouTube


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.

Taught by

NPTEL IIT Guwahati

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