2. Which of the following does not include different learning methods
A) Analogy
B) Introduction
C) Memorization
D) Deduction
3. Which of the following is not type of learning?
A) Unsupervised Learning
B) Supervised Learning
C) Semi-unsupervised Learning
D) Reinforcement Learning
4. Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?
A) Decision Tree
B) Random Forest
C) Regression
D) Classification
5. Which of the following is a disadvantage of decision trees?
A) Decision trees are prone to be over fit
B) Decision trees are robust to outliers
C) Factor analysis
D) None of the above