Machine Learning Approaches: Decoding Real-World Scenarios Quiz

Machine Learning Approaches: Decoding Real-World Scenarios Quiz

15 Qs

quiz-placeholder

Similar activities

Week 1 Quiz

Week 1 Quiz

KG - University

10 Qs

Fake News! Vocabulary

Fake News! Vocabulary

KG - University

12 Qs

Climate and Biomes Comprehension Questions

Climate and Biomes Comprehension Questions

KG - University

10 Qs

Lewis - Chapter 2 Assessment - Texas Regions

Lewis - Chapter 2 Assessment - Texas Regions

4th Grade - University

14 Qs

Student Survey (2023-24)

Student Survey (2023-24)

KG - University

12 Qs

Kingdom of Mali Check In

Kingdom of Mali Check In

7th Grade

15 Qs

TUESDAY: Language Review

TUESDAY: Language Review

1st - 5th Grade

15 Qs

Machine Learning Approaches: Decoding Real-World Scenarios Quiz

Machine Learning Approaches: Decoding Real-World Scenarios Quiz

Assessment

Quiz

others

Practice Problem

Medium

Created by

Marco Morais

Used 6+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A medical research team is using a dataset of thousands of chest X-ray images to develop a system that can automatically detect signs of pneumonia. Which machine learning approach is most likely being used?

Unsupervised Learning
Deep Learning
Reinforcement Learning
Supervised Learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A streaming music service wants to group users with similar listening habits together to recommend new music. Which machine learning approach would be most appropriate?

Unsupervised Learning
Deep Learning
Reinforcement Learning
Supervised Learning

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

An AI agent is learning to play chess by playing multiple games, receiving points for winning and losing points for mistakes. Which machine learning approach describes this scenario?

Unsupervised Learning
Deep Learning
Reinforcement Learning
Supervised Learning

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A bank wants to predict customer credit risk based on historical loan data with known outcomes (approved or denied). Which machine learning approach would be most suitable?

Unsupervised Learning
Deep Learning
Reinforcement Learning
Supervised Learning

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A robotics team is developing an autonomous robot that learns to navigate a maze by trial and error, receiving rewards for efficient paths and penalties for obstacles. Which approach is this?

Unsupervised Learning
Deep Learning
Reinforcement Learning
Supervised Learning

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

An e-commerce platform wants to identify hidden patterns in customer purchasing behavior without predefined categories. Which machine learning approach would be most appropriate?

Unsupervised Learning
Deep Learning
Reinforcement Learning
Supervised Learning

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A facial recognition system is trained on thousands of labeled face images to identify specific individuals. Which machine learning approach is being used?

Unsupervised Learning
Deep Learning
Reinforcement Learning
Supervised Learning

Create a free account and access millions of resources

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?