Dr. Rambabu Pemula

  Unit – II: Decision Tree learning and Neural Network learning Decision Tree learning 1.      DecisionTree representation and learning algorithm, 2.      appropriate problems for Decision Tree Learning, 3.      Hypothesisspace 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 (A) Decision Tree Long Answer Questions YouTube Link 👉 UNIT-2 (B) Introduction to Neural Network Lear...

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.