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EndsemNov 20222019 patternBE Comp

Machine Learning & Data Science (MLDS) SPPU Endsem Question Paper Nov 2022

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated MLDS questions
Subject code
410501
Pattern
2019 pattern
Exam
Endsem
Session
Nov 2022
Max. marks
70
Time
2½ Hours
Semester
VII
Paper code
[5927]-465

Printed for: B.E. (Computer Engineering)

Instructions to the candidates

  1. Answer Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7 or Q.8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicate full marks.
  4. Assume suitable data, if necessary.

Questions

  1. Q1

    1. a)

      Explain K-Means algorithm with an example.

      [6]
    2. b)

      How to measure the quality of clustering? Explain any three measures.

      [6]
    3. c)

      What are different types of partitional clustering? Explain any two of them.

      [6]

  2. Q2

    1. a)

      Explain KNN algorithm with example.

      [6]
    2. b)

      This part has equations that don’t show as text. Open the PDF to read it.

      [6]
    3. c)

      What is the role of dendrograms in choosing number clusters in hierarchical clustering? 2

      Also asked:May 2023

      [6]

  3. Q3

    1. a)

      Enlist limitations of MLP.

      [4]
    2. b)

      What are the types of artificial neural network?

      [6]
    3. c)

      What is the role of the activation functions in Neural Networks? List down the names of some popular activation functions used in Neural Networks.

      Also asked:May 2023

      [7]

  4. Q4

    1. a)

      Explain Multilayer Perception.

      [4]
    2. b)

      Explain Generalized Delta Learning Rule.

      [6]
    3. c)

      How does the learning rate affect the training of the Neural Network? What do you mean by Hyperparameters?

      [7]

  5. Q5

    1. a)

      Explain the different layers in CNN. Explain the significance of the RELU Activation function in Convolution Neural Network.

      Also asked:May 2023

      [6]
    2. b)

      Illustrate Long-short Term Memory along with its structure.

      Also asked:May 2023

      [6]
    3. c)

      Explain the terms “Valid Padding” and “Same Padding” in CNN. List down the Hyperparameters of a Pooling Layer.

      [6]

  6. Q6

    1. a)

      Explain CNN Architecture along with diagram.

      [6]
    2. b)

      Explain Recurrent Neural Network.

      Also asked:May 2023

      [6]
    3. c)

      Illustrate Gradient descent optimization using an example.

      Also asked:May 2023

      [6]

  7. Q7

    1. a)

      Explain the process of text preprocessing.

      [6]
    2. b)

      Write short note on document representation.

      [6]
    3. c)

      What are the practical uses of feature extraction?

      Also asked:May 2023

      [5]

  8. Q8

    1. a)

      What are various text similarity measures? Explain any two of them.

      Also asked:May 2023

      [6]
    2. b)

      Explain various feature selection methods.

      [6]
    3. c)

      This part has equations that don’t show as text. Open the PDF to read it.

      [5]