Introduction to Machine Learning Quiz

Introduction to Machine Learning Quiz

Professional Development

18 Qs

quiz-placeholder

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Introduction to Machine Learning Quiz

Introduction to Machine Learning Quiz

Assessment

Quiz

Computers

Professional Development

Hard

Created by

Srijana Shet

FREE Resource

18 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

How k-means clustering works?

Initialization

Assignment

Update centroids

Repeat

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of clustering?

To identify patterns and relationships in data

To classify data points

To label data points

To visualize data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does K define in K-Means Clustering?

The number of clusters

The number of data points

The number of iterations

The number of features

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in the K-Means Algorithm?

Select random K points

Assign data points to clusters

Calculate the variance

Select the number K

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a Dendrogram?

A diagram that shows the hierarchical relationship between objects.

A method for splitting a cluster.

A type of clustering algorithm.

A measure of dissimilarity between clusters.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between Agglomerative and Divisive clustering?

Agglomerative is a bottom-up approach, while Divisive is a top-down approach.

Agglomerative requires prespecifying the number of clusters, while Divisive does not.

Agglomerative merges clusters, while Divisive splits them.

Both approaches are the same.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Single Linkage?

The minimum distance between the members of two clusters.

The maximum distance between the members of two clusters.

The average distance between the members of two clusters.

A method for splitting clusters.

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