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Understanding Machine Learning Concepts

Authored by Thruchelvam Kanmany

Computers

8th Grade

Used 2+ times

Understanding Machine Learning Concepts
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is machine learning?

Training computers to make decisions based on data

Automating simple tasks without data

Using hardware to increase computational speed

Programming rules manually into a computer

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a key characteristic of supervised learning?

It only focuses on clustering techniques

It works with unstructured data

It uses labeled data for training

It does not require any data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of a training dataset?

To train the model by learning patterns in the data

To enhance data visualization

To store data securely

To provide data for testing

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of machine learning is most suitable for customer segmentation?

Semi-supervised learning

Deep learning

Transfer learning

Unsupervised learning

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of a feature in a dataset about houses?

The color of the house

The number of windows

The type of roof

A

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between supervised and unsupervised learning?

There is no difference

Unsupervised learning is faster

Supervised learning is only for classification tasks

Supervised learning uses labeled data, unsupervised does not

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which algorithm is commonly used for classification tasks?

Linear Regression

K-means

Decision Trees

None of the above

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