Exploring Machine Learning Applications

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10 Qs

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Exploring Machine Learning Applications

Exploring Machine Learning Applications

Assessment

Quiz

Computers

University

Practice Problem

Medium

Created by

deepika ponnusamy

Used 2+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

During a recent family gathering, Aditi shared a photo on social media. What is the primary use of image recognition in social media?

To identify and tag people in photos.

To enhance photo quality before posting.

To create filters for images.

To analyze user engagement metrics.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does natural language processing enhance customer service?

Natural language processing reduces the need for human agents entirely.

Natural language processing only translates languages without improving service.

Natural language processing complicates customer interactions with jargon.

Natural language processing improves customer service by automating responses, analyzing sentiment, and personalizing interactions.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Imagine a future where Arjun is sitting comfortably in his car, reading a book while the vehicle drives itself through the city streets. What technology enables cars to navigate without human input?

Traffic signal recognition

Manual driving assistance

Autonomous driving technology

Vehicle-to-vehicle communication

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Aanya is trying to find a movie to watch on a streaming platform. She notices that the platform suggests movies based on her previous viewing habits. Which algorithm is commonly used in recommendation systems?

Collaborative filtering

Decision trees

Linear regression

K-means clustering

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a busy online shopping platform, how can machine learning help in detecting fraudulent transactions made by users?

Fraudulent transactions can be identified solely through manual review processes.

Machine learning is ineffective in analyzing large datasets for fraud detection.

Machine learning helps detect fraudulent transactions by analyzing patterns in transaction data and identifying anomalies that indicate fraud.

Machine learning can only predict future transactions without detecting fraud.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a busy hospital, Dr. Aashi uses advanced AI technology to analyze medical images of patients. What role does AI play in diagnosing diseases from these medical images?

AI plays a crucial role in diagnosing diseases from medical images by improving accuracy and efficiency in image analysis.

AI has no impact on the speed of image analysis.

AI only analyzes blood samples for disease detection.

AI replaces doctors in all diagnostic tasks.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a busy retail store, Ananya uses image recognition technology to keep track of the products on the shelves. What is a common application of image recognition in retail?

Inventory management

Sales forecasting

Product pricing analysis

Customer service automation

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