Search Header Logo

Big Data 3

Authored by Arnaud Jaoul

Computers

University

Used 2+ times

Big Data 3
AI

AI Actions

Add similar questions

Adjust reading levels

Convert to real-world scenario

Translate activity

More...

    Content View

    Student View

9 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

What are the four step of preprocessing data before performing unsupervised machine learning ?

Data translation

Data Encoding

Scaling

Dimensionality reduction

Data Basing

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you transform categorical data ?

By using techniques such as one-hot encoding, label encoding, or ordinal encoding.
By using techniques such as mean encoding, mode encoding, or median encoding.
By using techniques such as binary encoding, target encoding, or frequency encoding.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How to select the right amount of feature for a clustering algorithm ?

By randomly selecting features
By using the most complex features
By not considering the features at all
By using techniques such as dimensionality reduction, feature selection, or domain knowledge.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the importance of feature selection in a clustering algorithm?

It helps in reducing the dimensionality of the data

It helps in improving the accuracy of the clustering algorithm

It has no impact on the clustering algorithm

It makes the algorithm more complex

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the bias and the variance for machine learning models ?

Bias and variance are sources of error in machine learning models.
Bias and variance are the only factors that determine the accuracy of machine learning models
Bias and variance are not relevant for machine learning models
Bias and variance are not related to error in machine learning models

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What can be clustering useful for in healthcare ?

Identifying patient groups with similar characteristics or grouping similar medical cases together
Organizing medical records by the day of the week they were created
Sorting patients by their favorite color
Grouping patients by their shoe size

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of the elbow method in clustering?

It helps in determining the optimal number of clusters

It helps in visualizing the clusters

It has no impact on the clustering algorithm

It makes the algorithm more complex

Access all questions and much more by creating a free account

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

Already have an account?

Discover more resources for Computers