Machine Learning

Machine Learning

8th Grade

7 Qs

quiz-placeholder

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Machine Learning

Machine Learning

Assessment

Quiz

Computers

8th Grade

Medium

Created by

Becky Pitman

Used 12+ times

FREE Resource

7 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the focus of this unit?
Machine learning
Driverless cars
Facial recognition in phones
Artificial intelligence in daily life

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the work explicitly mean?

To state something with confusion

To state something vaguely and indirectly without any clarity or certainty.

To state something clearly and directly without confusion.

To state something in a roundabout and unclear manner.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the definition of artificial intelligence?

A program that engages in conversations and makes decisions

A program that solves problems and displays emotions

A computer program that mimics human intelligence

A program that can recognize patterns and make decisions without being explicitly programmed

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is machine learning different from human learning?
Machine learning involves displaying emotions
Human learning involves recognizing patterns

Machine learning only uses examples to inform its program

Human learning involves mimicking intelligence

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does machine learning work?
By displaying emotions and engaging in conversations
By mimicking human intelligence
By recognizing patterns and making decisions without explicit programming
By explicitly programming computers to make decisions

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the potential impact of machine learning on society?

It could make humans obsolete

It could improve efficiency and productivity

It could lead to emotional robots

It could decrease the need for examples

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Picture a toddler. The child knows what the family cat looks like (provided they have one) but has no idea that there are a lot of other cats in the world that are all different. The thing is, if the kid sees another cat, he or she will still be able to recognize it as a cat through a set of features such as two ears, four legs, a tail, fur, whiskers, etc.

Supervised Learning

Unsupervised Learning

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