Describe the differences between supervised and unsupervised learning in AI.

Cambridge A Level CS Artificial Intelligence

Quiz
•
Computers
•
12th Grade
•
Easy

Carrie Preddy
Used 2+ times
FREE Resource
11 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.
Supervised learning is faster than unsupervised learning.
Unsupervised learning requires labeled data, while supervised learning does not.
There is no difference between supervised and unsupervised learning.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Artificial neural networks have helped with machine learning by:
improving data processing capabilities
reducing computational costs
eliminating the need for data
increasing hardware requirements
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A search engine uses machine learning to improve its performance by:
analyzing user behavior to refine search algorithms
increasing the number of indexed pages
reducing server load
improving hardware infrastructure
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In supervised learning, what is required for the system to be trained?
Labeled data
Unlabeled data
Reinforcement signals
No data
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Unsupervised learning is a type of machine learning where:
The model is trained on labeled data
The model is trained on unlabeled data
The model is trained with supervision
The model is trained with reinforcement
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The basis of learning in Reinforcement Learning is:
Supervised learning
Unsupervised learning
Trial and error
Genetic algorithms
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Unlabelled data is used more in semi-supervised learning because:
it is cheaper and easier to obtain than labeled data.
it provides more accurate results than labeled data.
it requires less computational power.
it is more reliable than labeled data.
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