E.G.S. PILLAY ENGINEERING COLLEGE(Autonomous)Nagapattinam – 611 002
M.E.. DEGREE EXAMINATIONS
Second Semester
2102CP201–Machine Learning Techniques
hours Maximum: 50 Marks
Date & Session:19.08.2023& FNTime: 1 ½
Answer ALL QuestionsQ. No PART B – (5 ×2= 10 marks) Marks [CO#, BTL]
1.
2.
3.
4.
5.
Define Dimensionality Reduction 2 [CO3, K2]
What is meant by Factor analysis. 2 [CO3, K2]
What is meant by Probabilistic Graphical Model?2 [CO4, K2]
What is Markov chain?2 [CO5, K2]
Give a note on Gibbs Sampling. 2 [CO5, K2]
Q. NoPART C – (4 × 10
marks) Marks [CO#, BTL]
6 (a) Explain in detail about EM algorithm 10 [CO3, K3]
Or
(b) Explain about step by step procedure for PCA with example 10 [CO3, K3]
7 (a) Write note on : i) Bayesian networks and ii) Markov Random fields 10 [CO4, K3]
Or
(b) Write note on : i) Hidden Markov Models and ii) Conditional Random Fields(CRFs). 10 [CO4, K3]
8 (a) Define Clustering. Discuss about K means algorithm. 10 [CO3, K3]
Or
(b) Explain about Linear Discriminant Analysis. 10 [CO3, K3]
9 (a) Explain about Monte Carlo Sampling. 10 [CO5, K3]
Or
(b) What is meant by Reinforcement Learning? Discuss about Markov Decision Process in detail 10
[CO5, K3]