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Basics of AI

Total questions: 20

Worksheet time: 11mins

Name
Class
Date
1.
Which of the following systems mimics human thinking?
a)
Artificial intelligence
b)
Intelligent agent
c)
Bot
d)
Database management system
2.

The study of algorithms that enable the machine to learn from data and to make decisions without the help of humans.

a)

Machine Learning

b)

Artificial Intelligence

3.

The unique characteristics of something

a)

Supervised learning

b)

Features

c)

Unsupervised learning

4.

learning from examples in a training data set is a

a)

Supervised Learning

b)

Unsupervised Learning

5.

When the machine will be provided with features only. It will then try to group objects with similar features

a)

Supervised Learning

b)

Unsupervised Learning

6.

The machine will group objects with similar features but will not be able to identify what this group label

a)

Supervised Learning

b)

Unsupervised Learning

7.

If the computer is trained to recognize cars, bikes and trucks with a human supervision.

a)

Supervised Learning

b)

Unsupervised Learning

8.

Predict the price of a house

a)

Supervised Learning

b)

Unsupervised Learning

9.

Recommend a product based on your buying history

a)

Supervised Learning

b)

Unsupervised Learning

10.

Identify Currency

a)

Supervised Learning

b)

Unsupervised Learning

11.
Artificial Intelligence is the process that allows computers to learn and make decisions like humans
a)
True
b)
False
12.

Which one of these is not an area of AI?

a)

computer vision/image recognition

b)

voice recognition

c)

web design

d)

robotics

13.

The ability of a computer to interact and

understand different human languages

a)

computer vision

b)

robotics

c)

Natural Language Processing

14.

Which of the following is not type of learning?

a)

Semi-unsupervised Learning

b)

Unsupervised Learning

c)

Supervised Learning

d)

Reinforcement Learning

15.

This picture shows an application of ...

a)

Supervised Learning: Classification

b)

Unsupervised Learning: Clustering

c)

Unsupervised Learning: Prediction

d)

Supervised Learning: Regression

16.

Field of study that gives computers the ability to learn without being explicitly programmed.

a)

Deep Learning

b)

Machine Learning

c)

Data Science

17.

Artificial Intelligence is superset of ________________________ & ________________________ ,

a)

Machine Learning & Neural Networks

b)

Machine Learning & Deep Learning

c)

Deep Learning & Neural Networks

18.

What would make a robot intelligent?

a)

It responds to the environment.

b)

It responds to the environment according to previous experiences.

c)

It calculates mathematical problems faster than human minds.

d)

It can jump 1.5 meters higher than humans.

19.

What is the concept of reinforcement learning?

a)

Learning from labeled data

b)

Learning from unlabeled data

c)

Learning from environment

20.

A major benefit of an machine with AI is

a)

it could do a job too dangerous for a human

b)

it could love you like a brother

c)

it could chop up your vegetables