B.TechSemester 72022-23Machine LearningKME074
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Machine Learning (KME074) - AKTU Question Paper 2022-23

B.Tech · Semester 7 · Free PDF Download

This is the official AKTU Machine Learning Previous Year Question Paper for B.Tech Semester 7, academic session 2022-23. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 7
Session:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Machine Learning (KME074) — extracted question text

Section AAttempt all questions in brief. 2x10 = 20
  • a
    Explain the applications of machine learning in industry 4. 0
  • b
    State the example of classification problem
  • c
    Differentiate between Trainin g data and Testing Data in ML
  • d
    Define the Polynomial Regression
  • e
    Explain the Multidimensional Scaling
  • f
    Define K-Means Clustering
  • g
    Describe artific ial intelligence (AI)
  • h
    What is the difference between Root Node & Decision Node (i) Explain the meaning of repro duction in genetic algorithm (j) Explain the difference between reinforcement learning and d eep learning?
Section BAttempt any three of the following: 10x3 = 30
  • a
    Explain the Differentiate between Supervised, Unsupervised and Reinforcement Learning What is Support vector machine (SVM) and how does it work? Expl ain the advantages & Disadvantages of SVM
  • c
    Show the application of Clustering in various sectors, disc uss with following examples: Marketing, Insurance, & Earth-quake studies
  • d
    Explain Backpropagation algo rithm in artificial neural netw ork (ANN) with suitable example
  • e
    Discuss the Genetic algorith m (GA) with suitable example. Also explain its advantages and applications
Section CAttempt any one part of the following: 10x1 = 10
  • a
    Explain with a neat diagram , application of ML in healthcar e and Banking sectors
  • b
    Show the machine learning how works with Netflix, Facebook, and amazon websites
  • a
    Is regression a supervised learning technique? Justify your answer. Compare regression with classification with examples
  • b
    What is regression in machine learning with example?
  • a
    Draw the cluster of followi ng 8 points into 3 clusters: Use the k-means algorithm and Euclidean distance and take the Initial cluster centers are A2(8, 6), A4(5, 8) & A8 (4,9). The solution up to two iterations
  • b
    Use the Nearest Neighbor clu stering algorith m and Euclidean distance to cluster: A1=(5,4), A2=(2,5), A3=(8,4), A4=(5,8), A5=(7,5), A6=( 6,4), A7=(1,2), A8=(4,9). Suppose that the threshold t is 4
  • a
    Construct the decision tree for the given data set & Calcul ate the entropy and information gain. DAY Outlook Temperature Humidity Windy Play Golf D1 Rainy Hot High Weak No D2 Rainy Hot High strong No D3 Overcast Hot High Weak Yes D4 Sunny Mild High Weak Yes D5 Sunny Cool Normal Weak Yes
  • b
    Let us consider an artificia l neural network (ANN) as shown in fig. with input values I1= 0.05, i2=0.05, Bias values b1=0.35, b2=0.60, Target vales T1=0.01, T2=0.99, initial weights w1=0.15, w2=0.20, w3=0.25, w4 =0.30, w5=0.40, w6=0.45, w7=0.50, w8=0.55. Calculate Input & Output of h i d d e n stage & output stage. Finally, ca lculate the total Error in one iteration of forward pass in back propagation Algorithm
  • a
    What is a genetic algorithm and its advantages? Explain with su itable example
  • b
    What do you mean by Reinforcement learning and its types? H ow does Reinforcement Learning Work?

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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