Machine Learning Approaches: Decoding Real-World Scenarios Flashcard

Machine Learning Approaches: Decoding Real-World Scenarios Flashcard

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Wayground Content

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15 questions

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1.

FLASHCARD QUESTION

Front

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?

Back

Supervised Learning

2.

FLASHCARD QUESTION

Front

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?

Back

Unsupervised Learning

3.

FLASHCARD QUESTION

Front

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?

Back

Reinforcement Learning

4.

FLASHCARD QUESTION

Front

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?

Back

Supervised Learning

5.

FLASHCARD QUESTION

Front

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?

Back

Reinforcement Learning

6.

FLASHCARD QUESTION

Front

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

Back

Unsupervised Learning

7.

FLASHCARD QUESTION

Front

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

Back

Supervised Learning

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