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Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA Integrated- SEMESTER -VII EXAMINATION -SUMMER-2019
Subject Code:4470601 Date: 03/05/2019
Subject Name: Machine Learning
Time:02.30 pm to 5.00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1

Do as directed:
1. Define with proper example Machine learning Version Space.
2. What is over fitting? How to avoid it?
04
03

Take any one machine leaning example. Explain step by step process of machine learning with respect to that example.
07
Q.2

What is concept learning? How Find-S is used in concept learning?
07

In the machine leaning, how you will select the best attributes? Explain your answer with proper example.
07
OR

What is decision tree learning? List and explain issues in decision tree learning.
07
Q.3

What is Perceptron? Explain Gradient descent in details.
07

Explain Genetic Algorithm with proper example.
07
OR
Q.3

Design BPNN for 3 inputs, hidden layer-1 with four units, hidden layer with three units, and two output units. With this example, explain how BPNN will learn?
07

Explain Naïve Bayes Classifier with example.
07
Q.4

Explain EM Algorithm.
07

What is Case Based Learning? Explain with suitable example.
07
OR
Q.4

What is VC dimension? How it is used?
07

How Nearest Neighbor machine learning technique works? Explain with suitable example.
07
Q.5

How sequential covering algorithm works? Explain with suitable example.
07

Explain learning with perfect domain theories.
07
OR
Q.5

Explain FOCL in details.
07

Explain Q Learning with example.
07