Suppose two students train the models in which one uses cross-validation, the other does not. Evaluate which approach is more reliable and why?
Explain how sampling distributions are used in hypothesis testing with a simple example.
A shopkeeper wants to predict whether tomorrow’s sales will be high or low using past data of sales. How can you apply Logistic Regression for this problem?
A University is having student marks data. How to apply a Decision Tree to decide whether a student will pass or fail?
Define adversarial attack in machine learning. Explain how small changes to input data can fool a trained model with any real-world applications example.
State the difference between Maximum Likelihood Estimation (MLE) and Maximum A Posteriori Estimation (MAP).
Define slope in a linear regression. Find the slope of the graph where the lower point on the line is represented as (−3, −2) and the higher point on the line is represented as (2, 2).
A population consists of six numbers 4,8,12,16,20,24 .consider all samples of size two which can be drawn without replacement from this population. Calculate
Given the 1-D data {2,4,5,10,12,20}, perform one iteration of K-Means clustering with K=2, using initial cluster centers 4 and 12. Assign each data point to the nearest center and compute the updated clusters.
Analyze the working of a Convolutional Neural Network. Compare its performance with a simple feed forward neural network with suitable example
Evaluate the role of parameter estimation methods in deep neural networks. Which approach is most suitable when data is limited.
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Official Gujarat Technological University (GTU) examination paper and step-by-step solutions for Applied Machine Learning (Summer 2026, B.E. · IT 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.
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