1. Artificial Interaction B. Artificial Intelligence C. Artificial Invention D. All of the above
Answer: B
- Which of the following is not a type of AI?
2. Narrow or weak AI B. General or strong AI C. Super AI D. None of the above
Answer: C
- Which of the following is a supervised learning technique in AI?
A. Clustering B. Reinforcement learning C. Decision tree D. None of the above
Answer: C
- Which of the following is an unsupervised learning technique in AI?
A. Classification B. Regression C. Clustering D. None of the above
Answer: C
- What is the goal of deep learning?
A. To simulate human thought process B. To recognize patterns in data C. To create intelligent machines D. All of the above
Answer: B
- Which of the following is not a popular deep learning framework?
A. TensorFlow B. PyTorch C. Keras D. None of the above
Answer: D
- What is the primary role of a neural network in AI?
A. To perform data cleaning B. To recognize patterns and classify data C. To optimize data storage D. None of the above
Answer: B
- Which of the following is a natural language processing (NLP) technique
A. Clustering B. Classification C. Sentiment analysis D. None of the above
Answer: C
- Which of the following is a popular tool for data visualization in AI?
A. Matplotlib B. Seaborn C. Plotly D. All of the above
Answer: D
- Which of the following is an example of a cognitive computing system?
A. IBM Watson B. Siri C. Alexa D. All of the above
Answer: A
- What is the role of reinforcement learning in AI?
A. To learn from labeled data B. To optimize parameters of a model C. To learn from rewards and punishments D. None of the above
Answer: C
- Which of the following is a popular technique for feature extraction in AI?
A. Principal component analysis (PCA) B. Linear regression C. Decision tree D. None of the above
Answer: A
- Which of the following is not an example of AI in everyday life?
A. Virtual assistants B. Self-driving cars C. Social media algorithms D. None of the above
Answer: D
- Which of the following is a popular AI technique for recommendation systems?
A. Decision trees B. Random forest C. Collaborative filtering D. None of the above
Answer: C
- Which of the following is not a challenge in AI?
A. Lack of data B. Bias and ethical concerns C. Too much computational power D. None of the above
Answer: C
- What is the role of transfer learning in AI?
A. To transfer knowledge from one domain to another B. To transfer data from one model to another C. To transfer parameters from one model to another D. None of the above
Answer: A