F.Y. M.Tech. Electronics Engineering (Semester
(New CBCS) Examination, 2018
machine learning
Day and Date Monday, 10-12-2018 Total Marks 70
Time 10.00 a.m. to 1.00 p.m.
Instructions All questions are compulsory.
Figures to the right indicate full marks.
Assume suitable data where necessary.
SECTION I
1. Answer briefly any three. 15
What is a learning system
Generate a diagrammatic representation of a Decision Tree system.
Compare between Supervised and Unsupervised learning.
Comment on Ensemble methods.
What is pruning w.r.t. 'Decision trees'
2. Attempt any two. 10
List and elaborate on different Linear Regression models.
How is machine learning carried out
Demonstrate a over-fitting w.r.t. Decision trees.
3. Attempt any two. 10
What are the steps in designing a regression model
Illustrate Bagging and Boosting methods.
What are the types of machine learning Illustrate each.
Seat
No. Set P
P.T.O.
SECTION II
4. Answer briefly any three. 15
What are the methods of modeling clusters Illustrate.
How do Support Vector Machines work
Define the term 'Splitting attribute' and illustrate how it is done in
Decision Tree Learning.
Give the exact meanings of the terms 'Training' and 'Testing'.
How are number of hidden layers decided in Neural Networks
5. Attempt any two. 10
List and illustrate the applications of deep Learning.
How does the Error Back-propagation Algorithm work
Develop an output for Hierarchical clustering.
6. Attempt any two. 10
What are the applications of 'Machine Learning' Illustrate one
application.
What are the basic features of Neural Networks Elaborate.
List the different types of Clustering. Illustrate one of these.