Artificial Intelligence

Artificial Intelligence

nptelhrd via YouTube Direct link

Lecture - 35 Rule Induction and Decision Trees - II

35 of 40

35 of 40

Lecture - 35 Rule Induction and Decision Trees - II

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Classroom Contents

Artificial Intelligence

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  1. 1 Lecture - 1 Introduction to Artificial Intelligence
  2. 2 Lecture - 2 Intelligent Agents
  3. 3 Lecture - 3 State Space Search
  4. 4 Lecture - 4 Uninformed Search
  5. 5 Lecture - 5 Informed Search
  6. 6 Lecture - 6 Informed Search - 2
  7. 7 Lecture - 7 Two Players Games - I
  8. 8 Lecture - 8 Two Players Games - II
  9. 9 Lecture - 9 Constraint Satisfaction Problems - 1
  10. 10 Lecture - 10 Constraint Satisfaction Problems 2
  11. 11 Lecture - 11 Knowledge Representation and Logic
  12. 12 Lecture - 12 Interface in Propositional Logic
  13. 13 Lecture - 13 First Order Logic
  14. 14 Lecture - 14 Reasoning Using First Order Logic
  15. 15 Lecture - 15 Resolution in FOPL
  16. 16 Lecture - 16 Rule Based System
  17. 17 Lecture - 17 Rule Based Systems II
  18. 18 Lecture - 18 Semantic Net
  19. 19 Lecture - 19 Reasoning in Semantic Net
  20. 20 Lecture - 20 Frames
  21. 21 Lecture - 21 Planning - 1
  22. 22 Lecture - 22 Planning - 2
  23. 23 Lecture - 23 Planning - 3
  24. 24 Lecture - 24 Planning - 4
  25. 25 Lecture - 25 Rule Based Expart System
  26. 26 Lecture - 26 Reasoning with Uncertainty - I
  27. 27 Lecture - 27 Reasoning with Uncertainty - II
  28. 28 Lecture - 28 Reasoning with Uncertainty III
  29. 29 Lecture - 29 Reasoning with Uncertainty - IV
  30. 30 Lecture - 30 Fuzzy Reasoning - I
  31. 31 Lecture - 31 Fuzzy Reasoning - II
  32. 32 Lecture - 32 Introduction to Learning - I
  33. 33 Lecture - 33 Introduction to Learning - II
  34. 34 Lecture - 34 Rule Induction and Decision Trees - I
  35. 35 Lecture - 35 Rule Induction and Decision Trees - II
  36. 36 Lecture - 36 Leavning Using neural Networks - I
  37. 37 Lecture - 37 Learning Using Neural Networks - II
  38. 38 Lecture - 38 Probabilistic Learning
  39. 39 Lecture - 39 Natural Language Processing - I
  40. 40 Lecture - 40 Natural Language Processing II

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