NEW
Font size
S
M
L
XL
WorksheetsML Use-Cases Quiz
Total questions: 20
Worksheet time: 10mins
Name
Class
Date
1.
Predicting housing prices based on features like location, square footage, and the number of bedrooms.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
2.
Grouping customers into distinct segments based on their purchasing behavior.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
3.
Teaching a robot to play chess by rewarding it for winning and penalizing it for losing.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
4.
Identifying fraudulent transactions in banking by using labeled data of fraudulent and non-fraudulent activities.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
5.
Recommending movies to users based on their past ratings and viewing history.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
6.
Reducing dimensionality of data to identify meaningful patterns or relationships in unlabeled data.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
7.
Training a self-driving car to navigate roads by learning from real-world feedback.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
8.
Detecting spam emails using a labeled dataset of spam and non-spam emails.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
9.
Clustering cities based on their population growth, economic activities, and geographic features.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
10.
Predicting disease outcomes using patient historical medical data and treatment results.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
11.
Teaching a drone to land safely using a series of trial-and-error approaches.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
12.
Generating synthetic images of human faces based on an unlabeled dataset of real faces.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
13.
Building a chatbot that improves its responses by learning from successful human interactions.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
14.
Reconstructing missing data in an unlabeled dataset using relationships among features.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
15.
Forecasting stock prices using historical labeled financial data.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
16.
Optimizing warehouse operations by learning the best sequence of actions to minimize cost.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
17.
Facial recognition for unlocking your phone
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
18.
Classifying handwritten digits (e.g., MNIST dataset) using labeled images.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
19.
Teaching an AI agent to win a video game by maximizing in-game rewards.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
20.
Anomaly detection in network traffic without prior examples of attacks.
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Deep Learning
Reset
