Unit 3/Chapter 1 AI and ML

Unit 3/Chapter 1 AI and ML

9th Grade

•

35 Qs

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Unit 3/Chapter 1 AI and ML

Unit 3/Chapter 1 AI and ML

Assessment

Quiz

•

Computers

•

9th Grade

•

Practice Problem

•

Medium

Created by

Pam Hayes

Used 2+ times

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35 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Machine Learning?

A. A process where humans manually program computers to perform tasks.

B. How computers recognize patterns and make decisions without being explicitly programmed.

C. A method of creating physical models for scientific experiments.

D. A technique for designing user interfaces.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT part of the Problem Solving Process in Machine Learning?

A. Define the problem.

B. Prepare the data.

C. Train and test the model.

D. Create a physical prototype.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a 'Model' in the context of Machine Learning?

A. A physical representation of a concept.

B. A computer program designed to make a decision.

C. A set of rules for data entry.

D. A type of database.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is 'Unsupervised Learning'?

A. Training a model with labeled data.

B. Finding patterns in data that doesn’t have any labels.

C. Using a model to predict future events.

D. Manually programming a computer to perform tasks.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are 'Features' in Machine Learning?

A. The output you are trying to decide or predict.

B. The inputs that the model uses to make decisions.

C. The process of giving examples to a model so it can learn.

D. The steps taken to prepare data.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is 'Supervised Learning'?

A. When a human trains a model to learn with examples.

B. When a model learns without any human intervention.

C. When a model is used to create physical prototypes.

D. When a model is used to design user interfaces.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is 'Training' in the context of Machine Learning?

A. The process of giving examples to a model so it can learn.

B. The final step in deploying a model.

C. The process of defining the problem.

D. The method of creating physical models.

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