AI and Machine Learning

AI and Machine Learning

9th - 12th Grade

30 Qs

quiz-placeholder

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AI and Machine Learning

AI and Machine Learning

Assessment

Quiz

Computers

9th - 12th Grade

Hard

Created by

Thomas Martinez

FREE Resource

AI

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30 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

Media Image

What is A.I?

Intelligence demonstrated by machines

Smart robots

Anthony Ian

I don't know

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

How does A.i work?

Combining large amounts of data with fast processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data.

The computation, mostly on computers, of antiderivatives and definite integrals in term of formulas

It just works you know??

Another super duper long answer to fool you guys to prove that not all longest answers are the correct ones, how is my quiz going anyway, i hope it is good, hope it is not too long though, thank you for not clicking

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which one of these is not an area of AI?

computer vision/image recognition

voice recognition

web design

robotics

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

How many images would you need of a cat, for example, to train a neural network ?

about 10

a few hundred

thousands

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

It is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed

Artificial Intelligence

Decision Tree

Machine Learning

Linear Regression

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is not type of learning?

Semi-unsupervised Learning

Unsupervised Learning

Supervised Learning

Reinforcement Learning

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Real-Time decisions, Game AI, Learning Tasks, Skill Aquisition, and Robot Navigation are applications in ...

Unsupervised Learning: Clustering

Supervised Learning: Classification

Reinforcement Learning

Unsupervised Learning: Regression

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