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Machine Learning

Authored by Arun Kathir

Computers

University

Used 1+ times

Machine Learning
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30 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is supervised learning?

Training a model on a labelled dataset.

Finding patterns in unlabeled data.

Maximizing rewards through actions.

Grouping similar items without labels.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of supervised learning?

To discover hidden patterns.

To learn a mapping from inputs to outputs.

To maximize cumulative rewards.

To group similar items.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does unsupervised learning deal with?

Data with labelled responses.

Data without labelled responses.

Data that is always structured.

Data that is always numerical.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of unsupervised learning?

To learn the best strategy.

To discover hidden patterns.

To predict outcomes.

To maximize rewards.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is reinforcement learning?

Training an agent to make decisions.

Finding patterns in data.

Grouping similar items.

Learning from labelled data.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of reinforcement learning?

To learn the best strategy to achieve the highest reward.

To group similar items.

To predict outcomes.

To discover hidden patterns.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data does semi-supervised learning utilize?

Only labelled data.

Only unlabelled data.

A combination of labelled and unlabelled data.

Data that is always structured.

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