Engineering BE Electrical Engineering Sem 7 December 2022 2022 Artificial Intelligence And Machine Learning Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q2 Solve any three questions out of the remaining five questions
2. Q3 Assume suitable data if necessary
3. Q4 Figure to the right indicates full marks Solve any Four of the following
   • (a) Consider the graph shown in figure below. Assume that the initial state 05 is Arad and the goal state is Bucharest. Create a search tree to find a path from the initial state to the goal state using Greedy Best First Search Generate the solution cost using the straight line distance mentioned
   • (b) List different types of neural networks and explain any one in detail. 05
   • (c) Compare supervised and unsupervised machine learning. 05
   • (d) Calculate root mean square error for following electricity consumption 05 Paper Subject Code: 42279 Artificial Intelligence and Machine Learning (DLOC - IV)
   • (e) Demonstrate that data cleansing is an important aspect for unsupervised 05
   • (a) Describe McCulloch-Pitts neuron model and discuss its performance for 10 the implementation of NOT, OR, and AND operations
   • (b) Develop the perceptron training rule and state the limitations of it. 10
4. Q3 (a) Define SVM? Explain the following terms: hyperplane, separating hyperplane, margin, and support vectors with suitable examples 10 marks
   • (b) Consider the following dataset in Table, from a motor maintenance 10 department based on the high voltage/impulse test performed on the machine. The data set contains three attributes and one class, use Naives Bayes classifier to evaluate the class (Broken/ Healthy) of status for a
5. Q4 Describe different types of clustering methods. 10 marks
   • (b) Examine the role of deep learning in contrast to machine learning with 10 the help of an example Paper Subject Code: 42279 Artificial Intelligence and Machine Learning (DLOC - IV)
6. Q5 (a) With the help of a suitable constrained power system model, discuss the challenges in static security assessment 10 marks
   • (b) Analyze in detail the impact of cyberattack on power system operation 10 and comment on how machine learning methods can address this issue?
7. Q6 Write short notes on any Four
   • (a) Informed and uninformed strategies 05
   • (b) Diversity of data: Structured and unstructured 05
   • (c) Overfitting, bias, and variance 05
   • (d) Confusion matrix 05

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