MSc Information Technology SEM III 2022 2023 Jan 2023 INFORMATION TECHNOLOGY MACHINE LEARNING Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Attempt of the following: 12 marks
   • a. Explain in brief various types of machine learning models
   • b. between Supervised and Unsupervised Learning
   • c. Explain Predictive and Descriptive task used in machine learning models
   • d. What is feature transformation and feature selection?
2. Q2 Attempt any two of the following: 12 marks
   • a. Explain the difference between Bias and Variance
   • b. the role of Confusion Matrix for checking the accuracy of the model
   • c. Write anote on ROC and AUC
   • d. the importance of Classification and Regression with suitable example
3. Q3 Attempt of the following: 12 marks
   • a. Write a detailed note on Principal Component Analysis
   • b. Explain in detail the Maximum Likelihood Estimation Explain in detail regularized regression
   • d. Write a detailed note on Support Vector machine
4. Q4 Attempt of the following: 12 marks
   • a. Write a short note on Association Rule Mining
   • b. Write short note on Hierarchical Clustering
   • c. Define KNN and mention all the steps of KNN algorithm
   • d. Write a short note on entropy and information gain used in Decision Tree
5. Q5 Attempt of the following: 12 marks
   • a. Write a short note on Deep Learning
   • b. Bagging and Boosting in detail
   • c. Write a short note on Ensemble learning
   • d. Explain Reinforcement learning with an example

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