Artificial Intelligence

Artificial Intelligence

nptelhrd via YouTube Direct link

Lecture - 1 Introduction

1 of 28

1 of 28

Lecture - 1 Introduction

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Classroom Contents

Artificial Intelligence

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  1. 1 Lecture - 1 Introduction
  2. 2 Lecture - 2 Problem Solving by Search
  3. 3 Lecture - 3 Searching with Costs
  4. 4 Lecture - 4 Informed State Space Search
  5. 5 Lecture - 5 Heuristic Search: A* and Beyond
  6. 6 Lecture - 6 Problem Reduction Search: AND/OR Graphs
  7. 7 Lecture - 7 Searching Game Trees
  8. 8 Lecture - 8 Knowledge Based Systems: Logic and Deduction
  9. 9 Lecture - 9 First Order Logic
  10. 10 Lecture - 10 Inference in First Order Logic
  11. 11 Lecture - 11 Resolution - Refutation Proofs
  12. 12 Lecture - 12 Resolution Refutation Proofs
  13. 13 Lecture - 13 Logic Programming : Prolog
  14. 14 Lecture - 14 Prolog Programming
  15. 15 Lecture - 15 Prolog: Exercising Control
  16. 16 Lecture - 16 Additional Topics
  17. 17 Lecture - 17 Introduction to Planning
  18. 18 Lecture - 18 Partial Order Planning
  19. 19 Lecture - 19 GraphPLAN and SATPlan
  20. 20 Lecture - 20 SATPlan
  21. 21 Lecture - 21 Reasoning Under Uncertainity
  22. 22 Lecture - 22 Bayesian Networks
  23. 23 Lecture - 23 Reasoning with Bayes Networks
  24. 24 Lecture - 24 Reasoning with Bayes networks (Contd.)
  25. 25 Lecture - 25 Reasoning Under Uncertainity: Issues
  26. 26 Lecture - 26 Learning : Decision Trees
  27. 27 Lecture - 27 Learning : Neural Networks
  28. 28 Lecture - 28 Back Propagation Learning

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