Explore topic-wise MCQs in Artificial Intelligence.

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