Artificial Intelligence

Quiz
•
Computers
•
12th Grade
•
Hard
michelleethan michelleethan
Used 2+ times
FREE Resource
11 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal of Artificial Intelligence (AI)?
To optimize routine tasks
To analyze data and make predictions
To interpret data and learn from it
To imitate intelligent behavior
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of learning involves analyzing historical sales data to predict future sales?
Deep learning
Reinforcement learning
Unsupervised learning
Supervised learning
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between Machine Learning (ML) and Deep Learning (DL) in terms of data requirement?
Both ML and DL automatically learn features from data
Both ML and DL require manual feature engineering
ML automatically learns features from data, while DL requires feature engineering
ML requires feature engineering, while DL automatically learns features from data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of Back Propagation in training a self-driving car's neural network?
Increase the complexity of the neural network
Improve the interpretability of the neural network
Adjust network weightings to minimize the difference between the car's actual and expected driving decisions
Reduce the number of layers in the neural network
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of learning involves a robot learning to navigate a maze by receiving rewards for reaching the end and penalties for hitting walls?
Unsupervised learning
Supervised learning
Reinforcement learning
Deep learning
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main function of Regression in machine learning?
To optimize routine tasks
To imitate intelligent behavior
To analyze data and make predictions
To solve complex problems
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main advantage of Deep Learning (DL) over Machine Learning (ML) in terms of model complexity?
DL models are less complex compared to highly complex ML models
DL models are highly complex compared to less complex ML models
ML models are highly complex compared to less complex DL models
Both DL and ML have similar model complexity
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