Machine Learning 2 - UNIT-1 Questions

UNIT-1 

Short Answer Questions 

1. What do you mean by Concept Learning? Explain 

2. List the applications of machine learning. 

3. Define Machine learning 

4. How is Candidate Elimination algorithm different from Find-S Algorithm 

5. What do you mean by a well –posed learning problem? 

 6. Explain the important features that are required to well –define a learning problem. 

7. What is the difference between Find-S and Candidate Elimination Algorithm 

 Long Answer Questions 

1. List The Different Well-Posed Learning Problems. Explain. 

2. List The Different Steps in Designing a Learning System 

3. Perspectives And Issues in Machine Learning 

4. Explain Machine Learning Techniques 

 5. What are the different types of a Machine Learning models? 

6. Describe in detail all the steps involved in designing a learning system. 

 7. What are the basic design issues and approaches to machine learning? 

8. How do you design a checkers learning problem 

9. Explain the various stages involved in designing a learning system 

 10. Explain find –S algorithm with given example. Give its application. 

 11. Candidate Elimination Algorithm for the following dataset. 

 12. Trace the Candidate Elimination Algorithm for the hypothesis space H’ given the sequence of training examples from below table. H’= < ?, Cold, High, ?,?,?>v 

 13. Differentiate between Supervised, Unsupervised and Reinforcement Learning 

 14. Explain the List Then Eliminate Algorithm with an example 

15. What do you mean by Concept Learning? 

16. What are supervised, semi-supervised and unsupervised learning? 

17. Discuss the perspective and issues in machine learning.