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Describe the key goals and objectives of Artificial Intelligence. How is AI shaping the future?
Give a brief overview of the history of Artificial Intelligence, highlighting significant milestones.
Discuss the similarities and differences between human intelligence and artificial intelligence in terms of learning and decision-making.
Explain the fundamental structure of an Artificial Neural Network (ANN) and provide a clear diagram to support your explanation.
Why is the activation function important in neural networks? Discuss the various types of activation functions used in feedforward networks.
Demonstrate the different types of learning methods used in neural networks, providing examples where applicable.
What is dimensionality reduction in machine learning? Explain its importance.
Define feature selection in machine learning and outline the key steps involved in the process.
Compare and contrast simple linear regression and multiple linear regression methods used for predicting output.
What are decision trees in machine learning? Define and explain the concepts of decision nodes and leaf nodes
Explain collaborative filtering and discuss its role in recommender systems.
Provide a brief description of the K-Nearest Neighbors (KNN) algorithm and how it functions.
Is clustering a supervised or unsupervised learning method? Explain with a relevant example
Describe any one crossover technique used in genetic algorithms with an example.
Using a flowchart, explain the concept of a genetic algorithm and the importance of mutation and crossover.
Describe the concepts of hyperplanes, support vectors, and the kernel trick in Support Vector Machines (SVM).
Explain the basic concept of Support Vector Machines (SVM) in machine learning.
Describe the Logistic Regression approach in machine learning. Is it a classification or regression technique?
Using the Centre of Area Defuzzification method, find the crisp outputs Y1 and Y2 for the given membership functions, assuming X1 = X2 = 4.
Briefly explain the various types of membership functions used in fuzzy systems. Discuss any three membership functions in detail.
Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.
BE Electrical
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Official Gujarat Technological University (GTU) examination paper for AI and Machine Learning (Summer 2025, B.E. · Electrical Engineering, Sem 7). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.
Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.
3170924 AI and Machine Learning
Official GTU PDF · Summer 2025
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