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Machine Learning

Total questions: 13

Worksheet time: 7mins

Name
Class
Date
1.

Machine learning is a subset of artificial intelligence

a)

True

b)

False

2.

A computer program is said to learn from __________ E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with E.

a)

Training

b)

Experience

c)

Database

d)

Algorithm

3.

A ___________ is a particular instance of data x. We break these into 2 categories, labeled and unlabeled.

a)

objects

b)

examples

c)

features

d)

models

4.

A ____________ defines the relationship between features and label. This has 2 phases, training and inference.

a)

Frame

b)

Example

c)

Model

d)

Feature

5.

A _______________ is the thing we are predicting. The y variable in linear regression. This could be the future price of wheat, a kind of animal, etc.

a)

Label

b)

Feature

c)

Example

d)

Model

6.

A __________________ is an input variable. The x variable in linear regression. This can be words in the email text, senders address, time of day, etc.

a)

Label

b)

Feature

c)

Model

d)

Example

7.

A regression model predicts values such as What is the value of a house in california or the probability someone will click on this ad.

a)

True

b)

False

8.

A Classificiation model predicts discrete values that answer questions like, is this email spam or not spam? Is this a dog, cat or a hamster?

a)

True

b)

False

9.

This model predicts if this is a shoe or not a shoe.

a)

regression

b)

classificiation

10.

This model predicts the cost of a car in 2 years.

a)

regression

b)

classification

11.

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

a)

Deep Learning

b)

Machine Learning

c)

Data Science

12.
In computer science what does AI stand for?
a)
Artificial Instrument
b)
Artificial Intelligence
13.

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.