AI 4

My Table

Unit 4

S No. Course Content:
1 Acting under Uncertainty
2 Basic Probability Notation
3 Inference Using Full Joint Distributions
4 Bayes' Rule and Its Use
5 Representing Knowledge in an Uncertain Domain
6 Other Approaches to Uncertain Reasoning
7 Rule-based methods for uncertain reasoning
10 Representing vagueness: Fuzzy sets and fuzzy logic
11 Study of fuzzy logic and Decision trees
12 Implementation aspects of Decision trees
13 Learning from Examples: Forms of Learning
14 Supervised Learning,
15 Learning Decision Trees
16 The decision tree representation
17 Expressiveness of decision trees
18 inducing decision trees from examples

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