F G1163 Pages: 3

Reg No.:_. Name:

APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
SEVENTH SEMESTER B.TECH DEGREE EXAMINATION(S), MAY 2019

Course Code: CS467
Course Name: MACHINE LEARNING

Max. Marks: 100 Duration: 3 Hours
PARTA
Answer all questions, each carries 4 marks. Marks
1 List out any four applications of machine learning. (4)
2 Briefly describe the concept on model selection and generalisation. (4)
3 Define VC dimension. Show that an axis aligned rectangle can shatter 4 points (4)

in 2 dimension.

4 What are the different methods for measuring classifier performance? (4)
Explain the various methods to perform cross validation. (4)
6 With suitable equations, explain any two types of activation functions used in (4)

neural networks.

7 What is the significance of optimal separating hyperplane in SVM? (4)
8 Differentiate between bagging, boosting and voting. (4)
9 Write down the major differences between K-means clustering and hierarchical (4)
clustering.
10 Explain the steps involved in expectation maximization algorithm. (4)
PART छ

Answer any two full questions, each carries 9 marks.
11 a) Explain regression with an example. (4)
b) Differentiate between supervised and unsupervised training. Explain with (5)
suitable examples.
12 a) Explain feature selection and feature extraction method for dimensionality (3)
reduction.
b) Illustrate the two approaches used in subset selection. (6)
13 a) Define the terms Hypothesis space and Version space. Illustrate with an (4)
example.

b) Explain the concept of Probably Approximately Correct learning. (5)

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