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WorksheetsAI Basic Concepts Quiz
Total questions: 36
Worksheet time: 28mins
What is Artificial intelligence?
When robots take over the world
Ability of a program or machine to think and learn
Ability of a program or machine to depend on human
None of the above
Intelligent machines that can learn any tasks that humans can do.
Artificial general intelligence
Artificial narrow intelligence
Artificial super intelligence
Can be defined as the ability of a computer to perform tasks that require human intelligence.
Machine Learning
Artificial Intelligence
Unsupervised Learning
A machine that is specialized in one task or area.
Artificial general intelligence
Artificial narrow intelligence
Artificial super intelligence
A theoretical type of AI where the machine can outperform human intelligence in every task
Artificial general intelligence
Artificial narrow intelligence
Artificial super intelligence
The ability of a computer to understand images and videos
Robotics
Natural Language Processing
Computer Vision
The ability of a computer to understand human language is called
NLP
Computer Vision
Medical Science
Human face recognition is considered as
NLP
Computer Vision
Objects tracking is considered as
NLP
Computer vision
Voice to text is considered as
NLP
Computer Vision
The study of algorithms that enable the machine to learn from data and to make decisions without the help of humans.
Machine Learning
Artificial Intelligence
learning from examples in a training data set is a
Supervised Learning
Unsupervised Learning
The study of algorithms that enable the machine to learn from data and to make decisions without the help of humans.
Machine Learning
Artificial Intelligence
When the machine will be provided with features only. It will then try to group objects with similar features
Supervised Learning
Unsupervised Learning
The unique characteristics of something
Supervised learning
Features
Unsupervised learning
The unique characteristics of something
Supervised learning
Features
Unsupervised learning
If the computer is trained to recognize cars, bikes and trucks with a human supervision.
Supervised Learning
Unsupervised Learning
Predict the price of a house
Supervised Learning
Unsupervised Learning
Recommend a product based on your buying history
Supervised Learning
Unsupervised Learning
Identify Currency
Supervised Learning
Unsupervised Learning
(bonus q) Which numbers are part of binary?
0 and 1
1 and 2
1 to 99
1, 2 and 3
How do we give instructions during programming?
Coding
Algorithm
All of the above
None of the above
How does an AI device learn and think?
It hacks our computer
It accepts data and trains itself, then creates a model
It hacks our brain
None of the above
What is data?
Raw facts that may not make sense
Information
Data helps us to browse
None of the above
What is information?
Information is processed data
Information is data
Information is something
I do not know
Which of these is NOT an AI technology
Facial recognition
Image recognition
Robotics
Animation
Which of the following is not an example of Artificial Intelligence?
Chess Playing Computers
Self Driving Cars
Face Recognising Devices
Money Counting Machines
Which one is NLP based application
Google Lens
Amazon Alexa
Predictive analytical tools
which one is Computer vision based application
Apple Siri
Text To Speech
Google lens
This device uses
Machine Learning
Deep Learning
Predictive Analysis
The technology used here is
Machine Learning
Deep Learning
Predictive Analysis
This type of application uses
Deep Learning
Machine Learning
Predictive Analysis
Deciding whether an email is spam or not:
regression problem
classification problem
expert system
Classification problem with machine learning from unlabelled instances, which are grouped in clusters that have close values for features:
supervised learning
unsupervised learning
reinforcement learning
Kind of learning in which a robot or software bot learns to make the right decisions to achieve a goal, over a great many different trials:
supervised learning
unsupervised learning
reinforcement learning
Which one of these is not an area of AI?
computer vision/image recognition
voice recognition
web design
robotics
