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Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
ME SEMESTER-1 EXAMINATION WINTER 2018
Subject Code: 3710216 Date: 03/01/2019
Subject Name: Machine Learning
Time: 02:30 PM To 05:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full mark.
Q.1

What is Machine Learning? Explain four example of machine learning.
07

What is classification? Explain phases of classification.
07
Q.2

Differentiate Bagging and Boosting.
07

Discuss Linear regression with example.
07
OR

Explain the concept of Bayes theorem with example.
07
Q.3

Write a short note on reinforcement learning.
07

Summarize K-mean algorithm and group the points and using k-means algorithm
07
OR
Q.3

Differentiate Supervised, Unsupervised, and reinforcement learning.
07

Explain major step of multi-variant regression.
07
Q.4

Differentiate between Active Learning Passive Learning.
07

Explain Deep Learning in detail.
07
OR
Q.4

Explain Bayesian Network with example.
07

Discuss recent trends in various learning techniques of machine learning with IOT based application
07
Q.5

Define following terms with respect to K-Nearest neighbor learning:
Regression
Re-Sidual
Kernel Function
07

Describe the working behavior of support vector machine with suitable diagram.
07
OR
Q.5

Describe how principal component analysis is carried out to reduce dimensionally of data sets.
07

Write a program to implement K-Nearest Neighbor algorithm to classify the iris data sets. Print both correct and Wrong Predictions.
07