Dr. Rambabu Pemula

  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 Learnin...

WEEK 4: • Write a program to demonstrate the working of the decision tree based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample.