Question 1 of 25
Hints left: 3
Q1
Which of the following is a commonly used activation function in deep learning?
Q2
What is 'epoch' in the context of neural networks?
Q3
What is the key advantage of using support vector machines (SVM) in classification?
Q4
Which of the following is a type of unsupervised learning?
Q5
Which type of problem is the k-nearest neighbors (KNN) algorithm best suited for?
Q6
Which of the following is an unsupervised learning technique?
Q7
What is the main difference between L1 and L2 regularization?
Q8
What is the function of a kernel in SVM?
Q9
Which method is used to impute missing values in a dataset?
Q10
In natural language processing, what does 'TF-IDF' stand for?
Q11
Which of the following is a metric used for classification models?
Q12
What is the purpose of 'dropout' in deep learning models?
Q13
What does 'RNN' stand for in deep learning?
Q14
Which algorithm is commonly used for time series forecasting?
Q15
What is the primary purpose of the activation function in a neural network?
Q16
Which machine learning algorithm is best suited for text classification?
Q17
Which of the following is a supervised learning algorithm?
Q18
Which loss function is used for binary classification problems?
Q19
Which of the following is an advantage of convolutional neural networks (CNN)?
Q20
What is the key concept behind bagging in ensemble learning?
Q21
What is a common application of reinforcement learning?
Q22
What is the purpose of using 'min-max normalization'?
Q23
Which algorithm is used for association rule learning?
Q24
What does 'gradient clipping' prevent in neural network training?
Q25
What is the primary goal of dimensionality reduction?