AI900-03

AI900-03

Professional Development

40 Qs

quiz-placeholder

Similar activities

20742B Identity with Windows Server 2016

20742B Identity with Windows Server 2016

Professional Development

41 Qs

CYBER SECURITY

CYBER SECURITY

Professional Development

40 Qs

Cyber Security

Cyber Security

Professional Development

35 Qs

AZ-900 1 de 3

AZ-900 1 de 3

Professional Development

40 Qs

Programming Logic and Design Chapter 3 - Understanding Structure

Programming Logic and Design Chapter 3 - Understanding Structure

Professional Development

35 Qs

Comptia A+ Review

Comptia A+ Review

10th Grade - Professional Development

40 Qs

Lvl 1 Introduction DBMS (QB)

Lvl 1 Introduction DBMS (QB)

Professional Development

39 Qs

pedagogik

pedagogik

Professional Development

35 Qs

AI900-03

AI900-03

Assessment

Quiz

Computers

Professional Development

Medium

Created by

Kevin Gilbert

Used 2+ times

FREE Resource

AI

Enhance your content

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

40 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Linear Regression matches the data on a graph to the
trend line
x-axis
y-axis
plot points

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You want to have your data be clustered into common characteristics. What would you use
unsupervised
supervised

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You want to have your data be categorized acording to labels. What would you use?
supervised
unsupervised

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The Nieve Bayesian Algorthm assumes all the predictors are __
dependent on each other
independent of each other

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You have five predictors, but one of the predictors is the most important in determining the result. What should you use?
Weighted Multiplier
Trend LIne
Plot Points

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is K-nearest neighbor also called lazy learning
it uses a lot of computation for every instance
It accumulates knowledge very slowly
It borrows ideas from several other models
It is very computationally efficient

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should you do if your decision tree has too much entropy?
Add or substitute predictors
add more outcomes
choose a different root
Delete the leaves

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

By signing up, you agree to our Terms of Service & Privacy Policy

Already have an account?