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This section includes 4 Mcqs, each offering curated multiple-choice questions to sharpen your Artificial Intelligence knowledge and support exam preparation. Choose a topic below to get started.
1. |
If a hypothesis says it should be positive, but in fact, it is negative, we call it __________ |
A. | A consistent hypothesis |
B. | A false negative hypothesis |
C. | A false positive hypothesis |
D. | A specialized hypothesis |
Answer» D. A specialized hypothesis | |
2. |
Computational learning theory analyzes the sample complexity and computational complexity of __________ |
A. | Unsupervised Learning |
B. | Inductive learning |
C. | Forced based learning |
D. | Weak learning |
Answer» C. Forced based learning | |
3. |
Inductive learning involves finding a __________ |
A. | Consistent Hypothesis |
B. | Inconsistent Hypothesis |
C. | Regular Hypothesis |
D. | Irregular Hypothesis |
Answer» B. Inconsistent Hypothesis | |
4. |
In an Unsupervised learning ____________ |
A. | Specific output values are given |
B. | Specific output values are not given |
C. | No specific Inputs are given |
D. | Both inputs and outputs are given |
Answer» C. No specific Inputs are given | |