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