Question

What is the purpose of restricting hypothesis space in machine learning? *
1 point
A) Can be easier to search
B) May avoid overfit since they are usually simpler (e.g. linear or low order decision surface)
C) Both of the above
D) None of the above

Answer 1

Explanation:

The hypothesis space used by a machine learning system is the set of all hypotheses that might possibly be returned by it. It is typically defined by a Hypothesis Language, possibly in conjunction with a Language Bias.

Answer 2

Option (C)

The purpose of restricting hypothesis space in machine learning Both of the above.

Machine learning:

• The proliferation of gadgets, data, and people has made IT infrastructure more difficult to maintain than ever before, prompting many to turn to Artificial Intelligence and Machine Learning for assistance.
• By automating important processes, proactively addressing issues before they happen, and providing unique visibility into user, device, and application behavior, AIOps takes the complexity out of developing IT networks.