Machine Learning Quiz

Machine Learning Quiz

6th - 8th Grade

10 Qs

quiz-placeholder

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Machine Learning Quiz

Machine Learning Quiz

Assessment

Quiz

Computers

6th - 8th Grade

Practice Problem

Hard

Created by

Matthew Carlson

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is supervised learning?

Supervised learning is a type of machine learning where an algorithm learns from unlabeled training data to make predictions or decisions.

Supervised learning is a type of machine learning where an algorithm learns from both labeled and unlabeled training data to make predictions or decisions.

Supervised learning is a type of machine learning where an algorithm learns from labeled training data to make predictions or decisions.

Supervised learning is a type of machine learning where an algorithm learns from unstructured data to make predictions or decisions.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Give an example of supervised learning.

Image recognition

Stock market prediction

Social media sentiment analysis

Email spam classification

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is unsupervised learning?

Unsupervised learning is a type of machine learning where the algorithm learns patterns and relationships in data with labeled examples.

Unsupervised learning is a type of machine learning where the algorithm learns patterns and relationships in data with guidance from a human.

Unsupervised learning is a type of machine learning where the algorithm learns patterns and relationships in data by following a predefined set of rules.

Unsupervised learning is a type of machine learning where the algorithm learns patterns and relationships in data without any labeled examples or guidance from a human.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are some applications of unsupervised learning?

Clustering, anomaly detection, and dimensionality reduction.

Natural language processing, computer vision, and speech recognition.

Regression, classification, and reinforcement learning.

Decision trees, random forests, and support vector machines.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are neural networks?

Neural networks are interconnected nodes organized in layers that can learn complex patterns and make predictions.

Neural networks are a type of programming language.

Neural networks are used to store and retrieve data.

Neural networks are a type of computer hardware.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do neural networks learn?

Backpropagation and gradient descent

Pattern recognition and decision making.

Random guessing and trial and error.

Supervised learning and unsupervised learning.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a decision tree?

A decision tree is a mathematical equation used for decision-making.

A decision tree is a type of graph used for data visualization.

A decision tree is a type of tree found in forests.

A decision tree is a flowchart-like structure used for decision-making in machine learning and data mining.

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