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Machine Learning Basics

Total questions: 5

Worksheet time: 3mins

Name
Class
Date
1.

What is machine learning?

a)

A) A type of AI that improves by analyzing data and patterns

b)

B) A machine that physically learns to move

c)

C) A program that never changes after it is created

d)

D) A type of AI that only works on supercomputers

2.

Which type of machine learning uses labeled examples to train AI?

a)

Unsupervised Learning

b)

Supervised Learning

c)

Reinforcement Learning

d)

Neural Networks

3.

What does reinforcement learning use to improve AI performance?

a)

Random guesses

b)

A reward and punishment system

c)

Only human-written rules

d)

A fixed set of data that never changes

4.

How does bias affect machine learning?

a)

AI always makes fair decisions, so bias is not an issue

b)

Bias in data can cause AI to make unfair or inaccurate predictions

c)

AI removes all bias automatically

d)

Bias helps AI perform better in all situations

5.

What is an example of machine learning in real life?

a)

A) A basic calculator solving 2+2

b)

B) A person writing an essay in Microsoft Word

c)

C) Netflix recommending shows based on your viewing history

d)

D) A printer making a copy of a document