Which of the following does not include different learning methods?
a) Memorization
b) Analogy
c) Deduction
d) Introduction
Explanation: Different learning methods include memorization, analogy and deduction.
Which of the following is the model used for learning?
a) Decision trees
b) Neural networks
c) Propositional and FOL rules
d) All of these
Explanation: Decision trees, Neural networks, Propositional rules and FOL rules all are the models of learning.
Automated vehicle is an example of……
a) Supervised learning
b) Unsupervised learning
c) Active learning
d) Reinforcement learning
Explanation: In automatic vehicle set of vision inputs and corresponding actions are available to learner hence it’s an example of supervised learning.
Which of the following is an example of active learning?
a) News Recommender system
b) Dust cleaning machine
c) Automated vehicle
d) None of the mentioned
Explanation: In active learning, not only the teacher is available but the learner can ask suitable perception-action pair examples to improve performance.
In which of the following learning the teacher returns reward and punishment to learner?
a) Active learning
b) Reinforcement learning
c) Supervised learning
d) Unsupervised learning
Explanation: Reinforcement learning is the type of learning in which teacher returns reward or punishment to learner.
Decision trees are appropriate for the
problems where ……….
a) Attributes are both numeric and nominal
b) Target function takes on a discrete number of values.
c) Data may have errors
d) All of these
Explanation: Decision trees can be used in all the conditions stated.
