202415 marksNumericalMachine Learning · Unit 1 · 1.4 Decision Tree
For the Play Tennis dataset (9 yes, 5 no), compute the information gain of the attribute Outlook and state which attribute becomes the root.
Previous year papers
Single questions from past papers, by subject, unit, year and marks.
41 questions
- 202410 marksLongMachine Learning · Unit 1 · 1.6 Support Vector Machine
Explain the concept of maximum margin hyperplane in SVM. What are support vectors?
Answer coming soonStudy this topic → - 20245 marksShortCloud Computing · Unit 1 · 1.2 Service models
Compare IaaS, PaaS and SaaS with one example each.
Answer coming soonStudy this topic → - 202415 marksNumericalMachine Learning · Unit 2 · 2.2 k-Means Clustering
Apply k-means (k = 2) to the points {2, 4, 10, 12, 3, 20, 30, 11, 25} with initial centroids 2 and 4. Show two iterations.
Answer coming soonStudy this topic → - 20245 marksShortCyber Security · Unit 2 · 2.3 DoS and DDoS
Differentiate between DoS and DDoS attacks.
Answer coming soonStudy this topic → - 202415 marksLongMachine Learning · Unit 3 · 3.3 Backpropagation
Derive the backpropagation algorithm for a multilayer perceptron.
Answer coming soonStudy this topic → - 202410 marksNumericalCryptography & Network Security · Unit 3 · 3.1 RSA
In RSA, p = 7, q = 11 and e = 7. Find d and encrypt M = 9.
Answer coming soonStudy this topic → - 20235 marksShortMachine Learning · Unit 1 · 1.1 Introduction to Supervised Learning
Differentiate between supervised and unsupervised learning with suitable examples.
- 20235 marksShortMachine Learning · Unit 1 · 1.3 Logistic Regression
Why is logistic regression called a classification algorithm? Explain the sigmoid function.
- 202310 marksNumericalMachine Learning · Unit 1 · 1.5 k-Nearest Neighbours
Using k-NN with k = 3 and Euclidean distance, classify the point (3, 3) given A(1,1) red, B(2,4) blue, C(4,4) blue, D(5,1) red, E(3,2) red.
- 20235 marksNumericalMachine Learning · Unit 1 · 1.8 Model Evaluation Metrics
Given TP = 40, FP = 10, FN = 5, TN = 45, compute accuracy, precision, recall and F1 score.
- 20235 marksShortCyber Security · Unit 1 · 1.1 Security goals
Explain the CIA triad with examples.
Answer coming soonStudy this topic → - 20235 marksShortMachine Learning · Unit 2 · 2.4 DBSCAN
How does DBSCAN handle noise? Define core, border and noise points.
Answer coming soonStudy this topic → - 202310 marksLongCloud Computing · Unit 2 · 2.1 Hypervisors
Explain Type 1 and Type 2 hypervisors.
Answer coming soonStudy this topic → - 202315 marksLongCryptography & Network Security · Unit 2 · 2.1 DES
Explain the structure of a DES round with a neat diagram.
Answer coming soonStudy this topic → - 202310 marksLongMachine Learning · Unit 4 · 4.1 Convolutional Neural Networks
Explain the architecture of a CNN with the role of convolution and pooling layers.
Answer coming soonStudy this topic → - 20235 marksShortCyber Security · Unit 4 · 4.1 IT Act 2000
Discuss the major provisions of the IT Act 2000.
Answer coming soonStudy this topic → - 202210 marksNumericalMachine Learning · Unit 1 · 1.2 Linear Regression
Fit a least-squares regression line to the points (1, 2), (2, 4), (3, 5) and predict y for x = 4.
- 20225 marksShortMachine Learning · Unit 1 · 1.4 Decision Tree
Compare ID3, C4.5 and CART decision tree algorithms.
Answer coming soonStudy this topic → - 20225 marksNumericalMachine Learning · Unit 1 · 1.7 Naive Bayes
P(spam) = 0.4, P("offer" | spam) = 0.6, P("offer" | ham) = 0.1. Find P(spam | "offer").
- 202210 marksNumericalCryptography & Network Security · Unit 1 · 1.1 Substitution ciphers
Encrypt "HELLO" using the Caesar cipher with key 3, and explain why it is insecure.
Answer coming soonStudy this topic → - 202210 marksLongMachine Learning · Unit 2 · 2.3 Hierarchical Clustering
Explain agglomerative hierarchical clustering with a dendrogram. Compare single and complete linkage.
Answer coming soonStudy this topic → - 202210 marksLongCyber Security · Unit 2 · 2.4 SQL injection
What is SQL injection? Explain with an example and list preventive measures.
Answer coming soonStudy this topic → - 20225 marksShortMachine Learning · Unit 3 · 3.1 Perceptron
Why can a single perceptron not solve the XOR problem?
Answer coming soonStudy this topic → - 202215 marksLongCloud Computing · Unit 3 · 3.2 MapReduce
Explain the MapReduce programming model with a word count example.
Answer coming soonStudy this topic → - 20225 marksShortMachine Learning · Unit 4 · 4.2 Recurrent Neural Networks
What is the vanishing gradient problem in RNNs? How does LSTM address it?
Answer coming soonStudy this topic → - 20215 marksShortMachine Learning · Unit 1 · 1.1 Introduction to Supervised Learning
What is overfitting? How can it be avoided?
- 202110 marksLongMachine Learning · Unit 1 · 1.3 Logistic Regression
Derive the cost function of logistic regression. Why is mean squared error not used?
Answer coming soonStudy this topic → - 20215 marksShortMachine Learning · Unit 1 · 1.6 Support Vector Machine
What is the kernel trick? Name any three kernels.
- 20215 marksShortMachine Learning · Unit 2 · 2.2 k-Means Clustering
What are the limitations of k-means clustering?
Answer coming soonStudy this topic → - 20215 marksShortMachine Learning · Unit 3 · 3.4 Activation Functions
Compare sigmoid, tanh and ReLU activation functions.
Answer coming soonStudy this topic → - 202110 marksLongCyber Security · Unit 3 · 3.2 IDS and IPS
Compare intrusion detection and intrusion prevention systems.
Answer coming soonStudy this topic → - 20215 marksShortCloud Computing · Unit 4 · 4.2 SLA
What is an SLA? List its key components.
Answer coming soonStudy this topic → - 20215 marksShortCryptography & Network Security · Unit 4 · 4.2 Digital signatures
How does a digital signature provide non-repudiation?
Answer coming soonStudy this topic → - 20205 marksLongMachine Learning · Unit 1 · 1.2 Linear Regression
Explain the gradient descent algorithm for linear regression. What is the role of the learning rate?
Answer coming soonStudy this topic → - 20205 marksShortMachine Learning · Unit 1 · 1.4 Decision Tree
What is pruning in a decision tree? Distinguish pre-pruning and post-pruning.
- 20205 marksShortMachine Learning · Unit 1 · 1.8 Model Evaluation Metrics
Explain k-fold cross-validation.
Answer coming soonStudy this topic → - 202010 marksLongMachine Learning · Unit 2 · 2.5 Principal Component Analysis
Explain Principal Component Analysis. How are principal components computed?
Answer coming soonStudy this topic → - 20192 marksShortMachine Learning · Unit 1 · 1.1 Introduction to Supervised Learning
Define bias and variance in the context of machine learning.
Answer coming soonStudy this topic → - 20192 marksShortMachine Learning · Unit 1 · 1.5 k-Nearest Neighbours
Why is k-NN called a lazy learner?
Answer coming soonStudy this topic → - 20195 marksShortMachine Learning · Unit 4 · 4.3 Regularisation and Dropout
Explain dropout as a regularisation technique.
Answer coming soonStudy this topic →