Machine Learning MCQ : Test 1

Explore this diverse selection of multiple-choice questions (MCQs) designed for various examinations. Machine Learning MCQ : Test 1 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. What is machine learning?

2. Who is considered the father of machine learning?

3. Which type of machine learning uses labeled data?

4. What is a common algorithm used in supervised learning?

5. Which algorithm is used for classification?

6. How does a decision tree work?

7. What is overfitting?

8. Which technique can prevent overfitting?

9. Identify the unsupervised learning method.

10. Which method is used to reduce the dimensionality of data?

11. What is reinforcement learning?

12. Which algorithm is commonly used in reinforcement learning?

13. How does a neural network learn?

14. Which activation function is commonly used in neural networks?

15. What is a common problem in machine learning?

16. How is a confusion matrix used?

17. What does the ROC curve represent?

18. Which metric is used to evaluate a regression model?

19. What is the purpose of cross-validation?

20. Which method is used to handle missing data?

21. What is a support vector machine (SVM)?

22. Which type of learning involves a reward system?

23. What is an ensemble method?

24. How does a random forest algorithm work?

25. What is the purpose of feature scaling?

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