 MORE IN Machine Learning
SPPU Information Technology (Semester 7)
Machine Learning
December 2016
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary

Solve any one question from Q.1(a,b) & Q.2(a,b)
1(a) Explain logical models. State examples.
5 M
1(b) What is a perceptron? Explain with the help of an example.
5 M

2(a) With an example, explain feature as a split and feature as a predictor.
5 M
2(b) Calculate accuracy, precision and recall for the following:
 Predicted + Predicted - Actual + 60 15 Actual - 10 15
5 M

Solve any one question from Q.3(a,b) & Q.4(a,b)
3(a) When is it suitable to use linear regression over classification?
5 M
3(b) State formulate for calculating accuracy, true positive rate, true negative rate, false positive rate and false negative rate for binary classification tasks.
5 M

4(a) Explain training dataset, test dataset and supervised learning.
5 M
4(b) Why do we need to regularize in regression? Explain.
5 M

Solve any one question from Q.5(a,b) & Q.6(a,b)
5(a) Explain four distance function. Name any machine learning task which uses distance functions.
9 M
5(b) Write note on clustering trees.
9 M

6(a) Write a note on subgroup discovery.
9 M
9 M

Solve any one question from Q.7(a,b) & Q.8(a,b)
7(a) Is Naive Bayes algorithm supervised or unsupervised task? Explain how it achieves the task you specified.
8 M
7(b) Write a note on normal distribution.
8 M

8(a) What is multivariate Bernoulli distribution?
8 M
8(b) Using the following data, find 2-item-itemsets which have minimum support =2.
 Transaction Items 1 nappies 2 beer, crisps 3 apples, nappies 4 beer, crisps, nappies 5 apples 6 apples, beer, crisps, nappies 7 apples, crisps 8 crisps
8 M

Solve any one question from Q.9(a,b) & Q.10(a,b)
9(a) Write a note on reinforcement learning.
8 M
9(b) Write a note on On-line learning.
8 M

10(a) Write a note on Deep Learning.
8 M
10(b) Write a note on ensemble learning.
8 M

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