D DC203 Pages: 2

Reg No.: Name:
APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
SECON SEMESTER (Second Year Direct) &
FOURTH SEMESTER MCA (Regular) DEGREE EXAMINATION, APRIL 2018
Course Code: RLMCA208
Course Name: INTRODUCTION TO MACHINE LEARNING

Max. Marks: 60 Duration: 3 Hours
PART A
Answer all questions, each carries 3 marks.

Marks
1 What is the purpose of Ordinary Least Square Estimation? (3)
2 Give a sample scenario where decision tree can be used for classifying data? (3)
3 Explain the structure of a single artificial neuron with a diagram. (3)
4 What is deep learning? (3)
5 Give one method to choose a maximum margin hyperplane for SVM classifiers?

(3)
6 What is a Support Vector? (3)
7 What are the advantages of K-fold cross validation? (3)
8 How Boosting process improves model performance? (3)
PART 8 Each
question carries 6 marks.
9 a) Explain PCA and its steps in detail. (6)
OR
b) Describe any 6 different measurements of central tendency & spread with
(6) relevant examples?

10 a) We have data from survey and objective testing with two attributes (acid durability and

strength) to classify whether a special tissue is good or not.

Here is four training samples.

X1(Acid Durability) X2(Strength) Y(Class)

Now the factory produces a

new tissue paper that pass the test with x value

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