Artificial Intelligence MCQ Test 2

1. Which algorithm is commonly used for text classification tasks?

2. In AI, what does the acronym CNN represent?

3. Which AI technique involves the use of heuristics to solve problems?

4. Which AI approach aims to mimic human intelligence by creating a virtual brain?

5. Which of the following is a common application of AI in everyday life?

6. Which technique involves teaching a machine learning model using both labeled and unlabeled data?

7. In machine learning, what is the primary objective of cross-validation?

8. What is the purpose of regularization in machine learning?

9. In AI, what is the primary goal of reinforcement learning algorithms?

10. Which technique involves generating synthetic data samples to augment the training dataset in machine learning?

11. In natural language processing, what is tokenization?

12. What is the primary function of a recurrent neural network (RNN) in AI?

13. Which famous computer scientist is often referred to as the 'Father of Artificial Intelligence'?

14. What is the role of hyperparameters in the training of machine learning models?

15. Which algorithm is commonly used for gradient-based optimization in machine learning?

16. What is the role of algorithms in AI?

17. Which type of neural network architecture is specifically designed for sequence-to-sequence tasks such as language translation?

18. What is the primary goal of artificial intelligence?

19. Which type of machine learning model is trained to classify data into predefined categories?

20. Which algorithm is commonly used for solving regression problems?

21. Which type of neural network architecture is designed to imitate the human brain's interconnected neurons?

22. What is the primary purpose of feature scaling in machine learning?

23. In AI, what does the term 'overfitting' refer to?

24. Which concept involves the idea that a machine should be able to understand and explain the decisions it makes?

25. What does SVM stand for in the context of machine learning?

26. What is the role of transformers in natural language processing models?

27. Which concept involves the use of multiple GPUs or processors to accelerate model training in deep learning?

28. What is the significance of the term 'bias' in machine learning?

29. Which type of machine learning involves making decisions based on historical data patterns?

30. Which programming language is commonly used for AI development?

31. What is the primary purpose of clustering in machine learning?

32. In AI, what does the term 'reinforcement' refer to?

33. Which AI application involves training a model to make decisions without explicit programming?

34. In the context of natural language processing, what is the purpose of named entity recognition (NER)?

35. Which type of AI system operates solely based on predefined rules?

36. What is the purpose of kernel methods in machine learning?

37. What is the primary goal of model distillation in machine learning?

38. In deep learning, what is the role of a hyperparameter tuning algorithm?

39. What is the primary challenge addressed by the k-nearest neighbors (KNN) algorithm?

40. In AI, what does NLP stand for?