Skip to content
InsemOct 20222019 patternTE IT

Artificial Intelligence & Machine Learning (AIML) SPPU Insem Question Paper Oct 2022

All 4 questions from this SPPU insem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated AIML questions
Subject code
314443
Pattern
2019 pattern
Exam
Insem
Session
Oct 2022
Max. marks
30
Time
1 Hour
Semester
I
Paper code
Oct-22/TE/Insem-559

Printed for: T.E. (IT)

Instructions to the candidates

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

Questions

  1. Q1

    1. a)

      Show how machine learning differs from traditional programming. Elaborate with suitable diagram.

      [6]
    2. b)

      Explain K-fold Cross Validation technique with suitable example.

      [5]
    3. c)

      What is Dataset? Differentiate between Training dataset and Testing dataset.

      [4]

  2. Q2

    1. a)

      Compare Supervised, Unsupervised and Semi-supervised Learning with examples.

      [6]
    2. b)

      What is the need of dimensionality reduction? Explain subset selection method.

      [5]
    3. c)

      What is feature? Explain types of feature selection technique.

      [4]

  3. Q3

    1. a)

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

      [6]
    2. b)

      Explain One-Vs-One construction method of multiclass classifier with suitable example.

      Also asked:Oct 2024

      [5]
    3. c)

      Explain linear Support vector machine with suitable diagram.

      Also asked:Oct 2024

      [4]

  4. Q4

    1. a)

      What is multiclass classification? Explain One-Vs-Rest and One-vs-One multiclass classifier construction method with suitable example.

      Also asked:Oct 2024

      [6]
    2. b)

      Write a short note on : Various SVM kernel functions used to handle non-linear data.

      [5]
    3. c)

      Define the following terms : i) Accuracy. ii) Precision. iii) Recall. iv) F1-score. 

      [4]