B.TechSemester 62022-23Machine Learning TechniquesKAI-601

Machine Learning Techniques (KAI-601) - AKTU Question Paper 2022-23

B.Tech · Semester 6 · Free PDF Download

This is the official AKTU Machine Learning Techniques Previous Year Question Paper for B.Tech Semester 6, 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 6

Session:2022-23

University:AKTU / UPTU

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Questions Asked in 2022-23

Machine Learning Techniques (KAI-601) — complete question paper

Section AAttempt all questions in brief. 2 x 10 = 20

a
Define classification tree and regression tree
b
Discuss reason of opting unsupervised learning over supervised learning
c
Discuss th e features of learning problems
d
Discuss the issues in machine learning
e
List the issues in Decision tree learning
f
Discuss the characteristics of the problems suited for decision tree learning
g
Write different applications of neural networks (NN)
h
Define Delta Rule . (i) What are the types of neuron connection? (j) Discuss the perspective and issues in machine learning

Section BAttempt any three of the following: 10x3=30

a
Discuss Inductive Bias in Decision Tree Learning. D ifferentiate between two types of biases. Discuss the reason to prefer short hypotheses?
b
Write the algorithm for b ack propagation
c
Write a detail note on naive bayes linear models
d
Discuss the types of problems in which Artificial Neural Network can be applied
e
Explain in detail the concept of evaluating h ypotheses

Section CAttempt any one part of the following: 10x1=10

a
Describe the reinforcement learning in detail with suitable examples
b
Discuss the learning. Write any four learning techn iques and in each case give the expression for weight- updating
a
Explain the process t o find complexity for finite h ypothesis spaces and Complexity for infinite hypothesis spaces
b
Discuss the neighbors? Also discuss the reason of necessary use of nearest neighbor while classifying justify the answer with suitable example
a
Discuss Bayesian learning and its impacts in machine learning?
b
Write a short note on following: i. Hypothesis space search ii. General-to-specific ordering of hypotheses
a
Explain that genetic algorithms are influenced by knowledge based te chniques. Also discuss the how genetic algorithm is different from traditional algorithms
b
Write a short note on the following: i. EM algorithm ii. Generalization
a
Explain Find -S Algorithm in detail. Also discuss t he properties and complaints of Find S
b
Explain the inductive biased hypothesis space, unbi ased learner and the futility of bias free learning. Describe the three types of learner

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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