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