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Machine Learning and its Types

Total questions: 12

Worksheet time: 6mins

Name
Class
Date
1.

What is the primary function of machine learning?

a)

Improving hardware efficiency

b)

Storing large amounts of information

c)

Learning from data to make predictions

d)

Writing explicit rules for all tasks

2.

What is the key difference between supervised and unsupervised learning?

a)

Supervised learning only works with numbers

b)

Supervised learning is always faster than unsupervised learning

c)

Unsupervised learning gives exact answers while supervised learning does not

d)

Supervised learning requires labeled data, while unsupervised learning does not

3.

What is the role of reinforcement learning?

a)

Only clustering data into groups

b)

Improving supervised learning models

c)

Learning through trial and error with rewards and penalties

d)

Training machines to follow strict rules

4.

How do machine learning models improve their performance over time?

a)

By manually changing the algorithm every time

b)

By using a single dataset forever

c)

By continuously adjusting based on new data

d)

By deleting old data frequently

5.

Which of the following is an example of unsupervised learning?

a)

Predicting house prices using historical sales data

b)

Categorizing spam emails based on predefined labels

c)

Identifying fraudulent transactions with labeled examples

d)

Grouping customers based on purchasing behavior

6.

Which of the following tasks is best suited for supervised learning?

a)

Grouping similar products based on descriptions

b)

Identifying objects in images

c)

Predicting whether an email is spam or not

d)

Clustering news articles by topics

7.

What is a common use of reinforcement learning?

a)

Text summarization

b)

Game playing

c)

Data clustering

d)

Image classification

8.

Which of the following is NOT a type of machine learning?

a)

Supervised learning

b)

Unsupervised learning

c)

Reinforcement learning

d)

Predictive learning

9.
How does data play a role in AI systems?
a)
Data is only used for storage in AI.
b)
AI systems do not require data to function.
c)
AI systems learn from data to recognize patterns and make predictions.
d)
Data is irrelevant to AI development.
10.

What is the science of training machines to perform human tasks?

a)

Virtual Reality

b)

Robotics

c)

Blockchain

d)

Artificial Intelligence

11.

The fundamental unit of Artificial neural l network is

a)

brain

b)

neuron

c)

nucleus

d)

axon

12.

Deep learning is often made possible by artificial neural networks, which imitate ______________, or_____________________.

a)

AI & ML

b)

Neurons or Brain Cells