Exploring Machine Learning

Exploring Machine Learning

8th Grade

10 Qs

quiz-placeholder

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Exploring Machine Learning

Exploring Machine Learning

Assessment

Quiz

Science

8th Grade

Practice Problem

Medium

Created by

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the three main types of machine learning?

Transfer learning

Active learning

Semi-supervised learning

Supervised learning, Unsupervised learning, Reinforcement learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can you name a common application of machine learning in daily life?

Weather forecasting

Recommendation systems

Data storage

Image editing

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the key difference between supervised and unsupervised learning?

Unsupervised learning uses more complex algorithms than supervised learning.

Supervised learning can only be applied to classification tasks.

The key difference is that supervised learning requires labeled data, whereas unsupervised learning does not.

Supervised learning is faster than unsupervised learning.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is data preprocessing important in machine learning?

Data preprocessing is unnecessary for model training.

Data preprocessing is important because it improves model accuracy and performance by cleaning and transforming raw data.

Data preprocessing is only relevant for supervised learning.

Data preprocessing only increases the size of the dataset.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What ethical concerns are associated with machine learning?

Increased computational power

Bias, transparency, privacy, accountability, and job displacement.

Efficiency in data processing

Enhanced user experience

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can machine learning improve healthcare services?

Machine learning has no impact on patient outcomes.

Machine learning can replace all healthcare professionals.

Machine learning only focuses on administrative tasks in healthcare.

Machine learning improves healthcare services by enabling predictive analytics, personalized medicine, and operational efficiency.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an example of unsupervised learning?

Decision tree

Support vector machine

Linear regression

K-means clustering

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