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Computational learning theory analyzes the sample complexity and computational complexity of __________

(a) Unsupervised Learning

(b) Inductive learning

(c) Forced based learning

(d) Weak learning

I have been asked this question in an internship interview.

The question is from Learning in section Learning of Artificial Intelligence

Select the correct answer from above options

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The correct choice is (b) Inductive learning

Easy explanation: Computational learning theory analyzes the sample complexity and computational complexity of inductive learning. There is a tradeoff between the expressiveness of the hypothesis language and the ease of learning.

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