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WorksheetsAI vs ML vs DL
Total questions: 62
Worksheet time: 29mins
Which of the following best describes Artificial Intelligence (AI)?
A branch of biology studying neural systems
The simulation of human intelligence in machines
A data storage technique
A type of search algorithm
Which of the following correctly represents the hierarchy among the fields?
Deep Learning → Data Science → Artificial Intelligence → Machine Learning
Data Science → Artificial Intelligence → Machine Learning → Deep Learning
Artificial Intelligence → Machine Learning → Deep Learning → Data Science
Machine Learning → Deep Learning → Artificial Intelligence → Data Science
Which of the following is not a type of Artificial Intelligence?
Narrow AI
General AI
Strong AI
Data Analysis
Machine Learning focuses primarily on:
Predefined rules
Learning patterns from data automatically
Manual programming of every decision
Symbolic reasoning only
The first mathematical model of neural networks was introduced in:
1950 by Alan Turing
1943 by McCulloch and Pitts
1980 by Geoffrey Hinton
1965 by John McCarthy
Which of the following correctly matches the type of learning with its description?
Supervised Learning – Uses labeled data
Unsupervised Learning – Uses unlabeled data
Reinforcement Learning – Learns through rewards and penalties
All of the above
Deep Learning primarily differs from Machine Learning because:
It uses multi-layered neural networks
It requires less data
It avoids mathematical computation
It uses no neural network at all
Convolutional Neural Networks (CNNs) are mainly used for:
Image and voice recognition
Sequential text processing
Predictive time series analysis
Symbolic logic reasoning
Recurrent Neural Networks (RNNs) are best suited for:
Random numeric data
Structured tabular data
Sequential or time-dependent data
Static images
Which of the following statements is true about Data Science?
It excludes Artificial Intelligence techniques
It is a subset of Machine Learning
It encompasses AI, ML, and DL
Which term refers to the simulation of human intelligence by machines?
Artificial Intelligence
Machine Learning with advanced visualization
Deep Learning focused on data extraction
Data Science using only statistics
Who proposed the idea of whether machines could think like humans, inspiring the study of Artificial Intelligence?
Alan Turing
Isaac Newton with his laws of motion
Charles Babbage with his analytical engine
Ada Lovelace with her programming notes
Narrow AI, General AI, and Strong AI are the three main types of which field?
Artificial Intelligence
Machine Learning focused on images
Deep Learning for neural networks
Data Science for information extraction
Machine Learning is a subset of which broader field?
Artificial Intelligence
Data Science with programming
Deep Learning for neural networks
Statistical Analysis
Deep Learning is a subset of which field?
Machine Learning
Artificial Intelligence focused on reasoning
Data Science with domain knowledge
Neural Networks
The earliest mathematical model of a neural network was developed by McCulloch and Pitts in which year?
1943
1960s with the rise of computers
1980s during the AI boom
2000s with deep learning
In which type of learning are models trained using labeled datasets?
Supervised learning
Unsupervised learning with hidden patterns
Reinforcement learning using rewards
Sequential learning for text data
In which type of learning do models find hidden patterns in unlabeled data?
Unsupervised learning
Supervised learning with labels
Reinforcement learning with feedback
Deep learning for images
In which type of learning does an agent learn through feedback, rewards, or penalties?
Reinforcement learning
Supervised learning with labeled data
Unsupervised learning with patterns
Sequential learning for speech
Deep Learning uses interconnected layers of nodes called what?
Neural Networks
Data Layers for analysis
Sequential Nodes for speech
Image Layers for CNNs
A neural network with more than three layers is called what kind of neural network?
Deep neural network
Sequential neural network for text
Image neural network for CNNs
Layered neural network for data
The three main types of neural networks in deep learning are ANN, CNN, and which other type?
RNN (Recurrent Neural Network)
DNN (Deep Neural Network)
SNN (Sequential Neural Network)
INN (Image Neural Network)
CNNs are primarily designed to process which type of data?
Image or spatial data
Sequential data such as text
Numerical data for statistics
Labeled data for supervised learning
RNNs are especially effective for which type of data such as text or speech?
Sequential data
Image data for CNNs
Numerical data for analysis
Layered data for deep learning
Machine Learning algorithms aim to improve automatically through what?
Experience or data
Programming with domain knowledge
Statistical analysis only
Visualization techniques
Artificial Intelligence systems aim to mimic human abilities such as reasoning, problem-solving, and what else?
Decision-making
Data extraction from statistics
Image recognition for CNNs
Speech processing for RNNs
Deep Learning became popular in the 21st century due to advancements by companies like which one and Google?
Microsoft with cloud computing
Apple with mobile devices
IBM with Watson
Data Science combines statistical analysis, programming, and domain knowledge to extract what from data?
Insights or meaningful information
Labeled datasets for supervised learning
Hidden patterns for unsupervised learning
Layers for neural networks
The term Data Science was first coined in which year?
1956s
1940s with neural networks
1980s with AI research
2000s with big data
What is the correct hierarchical order: Data Science → Artificial Intelligence → Machine Learning → what?
Deep Learning
Neural Networks for data
Supervised Learning for labels
Sequential Learning for speech
Artificial Intelligence is superset of ________________________ & ________________________ ,
Machine Learning & Neural Networks
Machine Learning & Deep Learning
Deep Learning & Neural Networks
AI is a field of computer science aimed at developing machines which are intelligent enough to do certain tasks that would normally be performed only by (a)
___________________ is set of algorithms that allows computers to learn from data without being explicitly programmed.
Machine Learning
Deep Learning
Neural Networks
This requires computer scientists to formulate general-purpose learning algorithms that help machines learn more than just one task.
Machine Learning
Deep Learning
Neural Networks
Machine Learning is a subset of AI. ML deals with developing systems which can improve their performance with _________________.
Experience
Deep Learning
Neural Networks
Most of people are familiar with ______________learning from shopping on the Internet and being offered products related to their purchase.
Machine
Deep
Machine learning is a subset of artificial intelligence
True
False
Identify parametric machine learning algorithms
Linear regression
CNN
Logistic regression
Naïve Bayes
Which of these statements is true about classical ML vs. deep learning?
All deep learning algorithms are machine learning algorithms
All machine learning algorithms are deep learning algorithms
Classical ML is a subcategory of deep learning algorithms,based on neural networks
What is the role of algorithms in Machine Learning?
Algorithms are not used in Machine Learning
Algorithms are used to predict the weather
Algorithms are used to train the model, enabling it to learn from data and make predictions.
Algorithms are used to clean the model
How is Deep Learning used in AI?
Deep Learning is used for predicting the weather
Deep Learning is used for designing buildings
Deep Learning is used for cooking recipes
Deep Learning is used for tasks such as image and speech recognition, natural language processing, and decision making.
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
A machine that is specialized in one task or area.
Artificial general intelligence
Artificial narrow intelligence
Artificial super intelligence
Intelligent machines that can learn any tasks that humans can do.
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
learning from examples in a training data set is a
Supervised Learning
Unsupervised Learning
When the machine will be provided with features only. It will then try to group objects with similar features
Supervised Learning
Unsupervised Learning
The machine will group objects with similar features but will not be able to identify what this group label
Supervised Learning
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
What type of AI is here today and can recognize patterns?
True Artificial Intelligence
Machine Learning
Alexa
Allen Institute for Artificial Intelligence
What kind of data can machine learning take in?
Images, video, audio, or text
Only images
Only video
Only audio
from the picture, what kind of programming is it?
Traditional Programming
Machine Learning
Modern Programming
Traditional Learning
Which of the following is not type of learning?
Semi-unsupervised Learning
Unsupervised Learning
Supervised Learning
Reinforcement Learning
What are the three types of Machine Learning? Choose three.
Supervised Learning
Learning Differentiated
Unsupervised Learning
Reinforcement Learning
Technical Learning
Labeled Data are used in _______ Machine Learning algorithm
Supervised
Unsupervised
Unlabeled Data are used in _______ Machine Learning algorithm
Supervised
Unsupervised
