Question 1 of 25
Hints left: 3
Q1
What is the function of a pooling layer in CNNs?
Q2
What is the role of 'learning rate' in gradient-based optimization?
Q3
Which technique is used to handle class imbalance in classification problems?
Q4
Which of the following is a non-parametric algorithm?
Q5
What is the role of 'backpropagation' in neural networks?
Q6
Which deep learning architecture is commonly used for sequential data?
Q7
Which algorithm is used for decision-making in reinforcement learning?
Q8
What is 'transfer learning' in machine learning?
Q9
Which type of regularization is commonly used in deep learning?
Q10
Which of the following is a model interpretability technique?
Q11
In reinforcement learning, what is a 'policy'?
Q12
What is a 'hyperparameter' in machine learning?
Q13
What is the key difference between boosting and bagging?
Q14
Which type of neural network is most commonly used for image data?
Q15
What is the role of 'one-hot encoding' in machine learning?
Q16
What does 'overfitting' refer to in machine learning?
Q17
What is a common evaluation metric for regression problems?
Q18
What does 'vanishing gradient' refer to in deep learning?
Q19
Which metric is used to evaluate the performance of clustering algorithms?
Q20
Which of the following is a generative model in machine learning?
Q21
Which of the following is a type of feature selection method?
Q22
What is the primary purpose of using a validation set during training?
Q23
What is the purpose of 'batch normalization' in deep learning?
Q24
What is a major drawback of decision trees?
Q25
What is a common evaluation metric for binary classification problems?