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WorksheetsGEM of AI
Total questions: 65
Worksheet time: 3hrs 32mins
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
Which one of these is not an area of AI?
Computer Vision
Voice Recognition
Web Design
Robotics
One downside of using AI is that if you train it incorrectly, the AI can show preference for one group over another. For example, only recognizing the x-rays of men and not women. This is called ________________
Biased
Unbiased
Cheating
None of These
What is Artificial Intelligence?
Playing a game on Computer
Making a machine Intelligent
Programming on Machine with your Own Intelligence
Putting your intelligence in Machine
Who is known as the Father of the AI?
Fisher Ada
Alan Turing
John McCarthy
Allen Newell
Which of the following statements is true?
Higher the bulk of data, more accurate is the prediction
Lower the bulk of data, more accurate is the prediction.
None of these
What are the two main features of Big Data?
Volume
Speed
Both a) and b)
Accuracy
Which are the robots that look like humans exteriorly?
Waymo
IBM Deep Blue
Humanoids
Computer vision
Which of the following is a key feature of Strong AI?
Perform with limited functionality
Perform only dedicated assigned task
Smart like humans. Think and respond like humans do
All of these
Learning based on reward-punishment approach is called ________.
Deep Learning
Loop Learning
Reinforcement Learning
Learning with Algorithm
An airplane training system that functions without the help of a trainer, is an example of:
Weak Intelligence
Narrow Intelligence
Broad Intelligence
Generalized Intelligence
Which of the following is not the AI domain?
Data
Computer Vision
Neural Network
Natural Language Processing
A Process or Logical set of rules to solve to produce useful patterns.
Expert System
Algorithm
Analytics
Sensing
__________ by IBM is an AI based Question-Answer system that answers questions asked in natural language.
Waymo
Waston
Werso
Wimitess
_________ Machines are equipped with the logic of sensing the changes occurring around such as an object changing its place or position at a distance.
Special
Narrow
Generalised
Limited Memory
Which of these is NOT an AI technology
Facial recognition
Image recognition
Robotics
Animation
What is intelligence?
Storing or keeping lots of information
Understanding
Being emotional
Being heartless
True or False: AI is not used for farming.
True
False
Which one of these is not an area of AI?
computer vision/image recognition
voice recognition
web design
robotics
The rules for combining words into grammatically sensible sentences.
Language Acquisition Device
Semantics
Syntax
Linguistic Determinism
A mental grouping of similar objects, events, ideas or people.
Schema
Prototype
Heuristic
Concept
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
“Fish is a non-vegetarian dish, Rajeev loves to eat non-vegetarian dishes; therefore, Rajeev loves to eat fish”. This statement is an example of which reasoning:
Inductive
Deductive
None of these
Both
What are the four major types of AI?
Machine learning, Deep learning , NLP, neural network
Supervised learning , Unsupervised learning, Semi-supervised learning, Reinforcement learning
Python, Jupyter notebook,VScode,Spyder
What is machine learning?
The automatic acquisition of knowledge through the use of computer programs
The automatic acquisition of knowledge through the use of manual programs
The selective acquisition of knowledge through the use of computer programs
The selective acquisition of knowledge through the use of manual programs
Which of the following types of AI handles labeled data?
Unsupervised learning
Supervised learning
Reinforcement learning
None of the above
MACHINE LEARNING basically works by
By using future data
Randomly guesses the output
Finding patterns with the data given using algorithms,
None of the above
Identify the type of supervised learning from the given words
Classification
Natural language processing
Reinforcement learning
Random guesses
Before using a data it is split into two for what purpose?
To speed up the process
To free up memory usage
To create more labels
Training and testing of the model
Alexa, Jarvis,Google assistance uses which part of A.I for speech recognition ?
Linear regression
NFC
NLP(Natural Language Processing)
None of the above
Deep learning works on the concept of ?
Multilabel classification
Regression
Neural networks
None
Who is the founder of NLP?
Richard Bandler and John Grinder
Richard Bandler, John Grinder and Virginia Satir
Richard Bandler dan Michael Hall
Milton Erikson
Dialogflow is a chatbot platform from ______
Orange
Apple
Sun Microsystems
NLU Stands for
Neutral Language Understanding
Natural Language Understanding
National Language Understanding
None of the Above
What is the main purpose of Natural Language Processing?
Helping the machine to understand human language
Let machine understand the human mind
Guide human to process the language naturally
Allow human to interpret machine language easily
What is the use of labels in Sentiment Analysis?
To label the type of sentiment of a sentence
To analyse the sentiment of a sentence
To convert the sentence to a form more understandable by the machines
To train the NLP models
What is Deep Learning?
Branch of Machine Learning that deals with the study of Artificial Neural Networks (ANN)
When we study more than 18 hours, the process is called Deep Learning
When the number of lines in a Python file exceeds 1000, it is called Deep Learning
Branch of biology that deals with the study of how neural connections of an animal brain functions
What is the name of the first humanoid Robot and in which country it originated?
Sophia, America
Salvius, Hong Kong
Sophia, Hong Kong
Salvius, America
Robot is derived from the Czech word
Rabota
Robota
Rebota
Ribota
All robots are controlled by a........
switch
person
computer
magician
Which step is the process of breaking down documents into smaller units of analysis?
Lemmatization
Tokenization
Ngrams
Stopwords
Corpus
Which are common words usually removed in an NLP analysis?
Lemmatization
Tokenization
Ngrams
Stopwords
Corpus
Which is the process of turning different morphologies (i.e. versions) of a word into its base form?
Lemmatization
Tokenization
Ngrams
Stopwords
Corpus
9.Natural language processing is divided into the two subfields of -
time and motion
symbolic and numeric
understanding and generation
algorithmic and heuristic
Twitter data is an example of______
Engram
Corpus
Token
Normalized Data
Popular methods which are used for normalization are
Machine Learning and Speech Tagging
Tokenization and Speech Tagging
Stemming and Machine Learning
Stemming and Lemmatization
______________________ are NLP based programs that are automated to
communicate in human voice, mimicking human interaction to help ease day to day
activities
Sentiment Analysis
Automatic Text Summarization
Virtual Assistants
Text Classification
Process to Communicate with computer by Speaking to it is called _________________?
Face Recognition
Natural Language Processing
Speech Recognition
None of these
If you have to to pick the most important technique that will contribute in the autonomous car's ability to sense its surrounding it will be ...
Natural Language Processing
Robotics
Computer Vision
Gaming
This language is easy to learn and is one of the most popular language for AI today
C++
JAVA
RUBY
PYTHON
In this type of model, the algorithms work towards accomplishing the goal or try to improve the performance in a particular task. This is used in gaming.
Reinforcement learning
Supervised Learning
UnSupervised Learning
The current Artificial Neural Networks are part of _____.
Weak Al systems.
Strong Al systems.
Future Al systems.
The kind of machine learning where instances must be sorted into categories:
regression problem
classification problem
expert system
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
IN CLASSICAL CONDITIONING, WHAT IS THE INITIAL STAGE, WHEN ONE LINKS A NEUTRAL STIMULUS AND AN UNCONDITIONAL STIMULUS SO THAT THE NEUTRAL STIMULUS BEGINS TRIGGERING THE CONDITIONED RESPONSE?
REINFORCEMENT
EXTINCTION
ACQUISITION
SHAPING
IN OPERANT CONDITIONING, WHAT IS AN EVENT THAT STRENGTHENS THE BEHAVIOR IT FOLLOWS?
REINFORCMENT
ACQUISITION
EXTINCTION
SHAPING
_______________________ is a category of an algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.
Artificial Intelligence
Machine Learning
Deep Learning
Traditional Learning
What are the two types of Supervised Learning?
Classification
Declassification
Progression
Regression
What are the two types of Unsupervised Learning?
Loitering
Clustering
Association
Dissociation
