Unit – II: Decision Tree learning and Neural Network learning

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 Unit – II: Decision Tree learning and Neural Network learning

Decision Tree learning

1.     Decision Tree representation and learning algorithm,

2.     appropriate problems for Decision Tree Learning,

3.     Hypothesis space search in Decision Tree Learning,

4.     Inductive bias in Decision Tree Learning: Occam’s razor,

5.     Issues in Decision Tree Learning.

Introduction to Neural Network Learning,

1.     Introduction to Perceptions,

2.     Perceptions,

3.     Introduction to Gradient Descent

4.     Back propagation.


👉UNIT-2 (A) Decision Tree Learning Notes 

👉UNIT-2 (A) Decision Tree Learning PPTs

👉UNIT-2(A) Decision Tree Learning Long Answer Questions

👉UNIT-2 (B) Introduction to Neural Network Learning Notes

👉UNIT-2 (B) Introduction to Neural Network Learning PPT

👉UNIT-2 (B) Introduction to Neural Network Learning Long Answer Questions








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