Machine Learning MCQ : Test 2

Explore this diverse selection of multiple-choice questions (MCQs) designed for various examinations. Machine Learning MCQ : Test 2 focuses on essential aspects of the subject, ensuring comprehensive preparation across different categories and fields of study to enhance your knowledge and readiness. The right answers for each question is provided next to respective questions for your convenience, you can either attend the test or dirtectly access the right answers by clicking the show correct answer button

Each correct answer earns 1 mark, while each incorrect answer deducts 0.3 marks.
1. Which technique is used for natural language processing (NLP)?
2. What is the role of a kernel in SVM?
3. Which method is used to handle imbalanced data?
4. What is the output of a regression model?
5. How is a neural network structured?
6. Which algorithm is used for clustering?
7. What is gradient descent?
8. Which type of neural network is commonly used for image recognition?
9. What is the purpose of a learning rate in gradient descent?
10. Which evaluation metric is used for binary classification?
11. What is a hyperparameter?
12. Which method is used to evaluate the clustering quality?
13. What is an epoch in machine learning?
14. How does batch normalization help neural networks?
15. Which algorithm is used for market basket analysis?
16. What is the purpose of dropout in neural networks?
17. Which method is used for text classification?
18. What is a perceptron?
19. How does a random forest improve prediction accuracy?
20. Which technique is used to handle categorical data?
21. What is a common evaluation metric for clustering?
22. Which algorithm is used for anomaly detection?
23. What is the purpose of the softmax function?
24. Which method is used for dimensionality reduction?
25. What is the role of an activation function in a neural network?
Question Navigation

Related MCQs

Machine Learning MCQ : Test 1

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 10

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 11

Number of Questions: 6

Take Test
Machine Learning MCQ : Test 3

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 4

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 5

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 6

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 7

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 8

Number of Questions: 25

Take Test
Machine Learning MCQ : Test 9

Number of Questions: 25

Take Test