Machine Learning Approaches: Decoding Real-World Scenarios Quiz

Machine Learning Approaches: Decoding Real-World Scenarios Quiz

15 Qs

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Machine Learning Approaches: Decoding Real-World Scenarios Quiz

Machine Learning Approaches: Decoding Real-World Scenarios Quiz

Assessment

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Created by

Marco Morais

Used 20+ times

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15 questions

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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

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