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Reg No.: Name:

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

Course Code: CS467
Course Name: MACHINE LEARNING

Max. Marks: 100 Duration: 3 Hours
PART A
Answer all questions, each carries 4 marks. Marks
1 Identify the suitable learning method in each case and Explain it. (4)

(a) Grouping people in a social network

(b)Training a robotic arm

2 Explain the concept of Overfitting and Underfitting model with suitable (4)
diagrams.
Define VC dimension. Show that VC dimension of a line hypothesis is three. (4)
+ Compare Gain ratio with Information gain for attribute selection. Explain the (4)

advantage of using Gain ratio over Information gain for finding best split for
constructing a decision tree.
5 Compute the Maximum Likelihood estimate for the parameter ۸ in the (4)

Poisson distribution whose probability function is

e7 4 9x
1५) = प्र 2 = 0,1,2 ...11
6 Why does a single perceptron cannot simulate simple XOR function ? Explain (4)

how this limitation is overcome?
7 Describe any two techniques used for Ensemble Learning. (4)
8 Explain Kernel Trick in the context of support vector machine. List any two (4)

kernel function used in SVM.

9 Describe the basic concepts of Expectation Maximization Algorithm. (4)
10 Calculate the dissimilarity between two data points x1(2,3,4) and x2(4,3,5) (4)
using

(a) Euclidian distance (b) Manhattan Distance
PART ‏تا‎
‎Answer any two full questions, each carries 9 marks.

11 a) Is regression a supervised learning technique? Justify your answer. Compare (5)

regression with classification with examples.

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