
Understanding Machine Learning-CR
Authored by Haythem Benhmida
Education
11th Grade
Used 11+ times

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18 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of system cannot improve without new human-written rules?
Data-Driven System
Supervised Learning
Rule-Based System
Reinforcement Learning
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which best describes a data-driven system?
Learns patterns from examples
Always follows fixed instructions
Predicts without using data
Only works for numbers
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A teacher gives students both the questions and answers while practicing. This is most like:
Unsupervised Learning
Supervised Learning
Reinforcement Learning
Rule-Based System
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Predicting house prices based on size and location is an example of:
Classification
Regression
Clustering
Reinforcement
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these tasks would most likely use clustering?
Sorting fruits into 'ripe' or 'not ripe'
Predicting next week's rainfall in millimeters
Grouping customers by spending habits
Teaching a robot to walk across a room
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of learning is most similar to trial and error?
Supervised
Unsupervised
Reinforcement
Rule-Based
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A mobile app suggests friends to follow by analyzing who you interact with, without labels. This is an example of:
Supervised Learning
Reinforcement Learning
Rule-Based System
Unsupervised Learning
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