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WorksheetsConcepts of Machine Learning
Total questions: 25
Worksheet time: 13mins
Which ML algorithm is being used to perform classification in this image?
Naive Bayes
SVM
AVM
Decision Tree
Which of the following is NOT a good way to define AI
AI is Augmented Intelligence and is not intended to replace human intelligence rather extend human capabilities
AI is the application of computing to solve problems in an intelligent way using algorithms.
AI is the use of algorithms that enable computers to find patterns without humans having to hard code them manually
AI is all about machines replacing human intelligence.
........... are more commonly used to find insights into nearly everything from marketing to law enforcement.
Data mining
Big data
Predictive analytics
Machine learning
.......... measures the set of possible good recommendations your system comes up with.
Recall
Precision
Data
Accuracy
The task "Future stock prices or currency exchange rates" falls under which category?
Recognizing Anomalies
Prediction
Generating Patterns
Recognition Patterns
How many new opportunities and job roles does the World Economic Forum expect that AI will create in the next few years?
165 million
7 million
133 million
48 million
Suppose your email program watches which emails you do or do not mark as spam, and based on that learns how to better filter spam. What is the task T in this setting?
Classifying emails as spam or not spam
Watching you label emails as spam or not spam
The number of emails correctly classified as spam/not spam
None of the above
........ measures how accurate the system’s recommendation was.
Precision
Recall
Model
Data
A .......... is a mathematical representation of an object or a process.
Method
Object
Data
Model
The Number of coefficients required to estimate a simple linear regression?
( Hint: think of a simple linear regression equation)
1
2
0
3
KNN is ___________ algorithm
Eager Learner
Lazy Learner
Estimating the price of a house is a problem solved through.....
Cluster
Class
Regression
Which of these is NOT a current application of AI?
Self-Driving vehicles utilizing Computer Vision to navigate around objects
Collaborative Robots helping humans lift heavy containers
Classifying rock samples to identify best places to drill for oil
Making precise patient diagnosis and prescribing independent treatment
......... has its own challenging properties that include volume, velocity, and variety.
Data mining
Machine learning
Big data
Statistics
If your algorithm gives very good accuracy for training set , but bad accuracy for test set, it is.......
Underfitting
Best fit
Overfitting
No Fit
Which of these statements is true?
AI is the subset of Data Science that uses Deep Learning algorithms on structured big data
Data Science is a subset of AI that uses machine learning algorithms to extract meaning and draw inferences from data
Artificial Intelligence and Machine Learning refer to the same thing since both the terms are often used interchangeably
Deep Learning is a specialized subset of Machine Learning that uses layered neural networks to simulate human decision-making
What is a significant way in which developers of AI systems can guard against introducing bias?
Using only examples from their own environment as training data.
Using government approved algorithms.
Providing effective training data and performing regular tests and audits.
Using less varied AI systems and datasets.
........... and predictive analytics are bringing equally big changes to academia, the job market, and virtually every competitive company out there.
Big data
Models
Clustering
Data
Natural Language AI algorithms that learn by example are the reason we can talk to machines and they can talk back to us.
True
False
Can't Say
Neither True nor False
AI is the fusion of many fields of study. Which of these fields, along with Computer Science, plays a role in the application of AI?
Statistics
Philosophy
Mathematics
All responses are correct
What type of Machine Learning Algorithm is suitable for predicting the continuous dependent variable?
Logistic Regression
Linear Regression
Decision Tree Classifier
KNN Classifier
Field of study that gives computers the ability to learn without being explicitly programmed.
Deep Learning
Machine Learning
Data Science
What would make a robot intelligent?
It responds to the environment.
It responds to the environment according to previous experiences.
It calculates mathematical problems faster than human minds.
It can jump 1.5 meters higher than humans.
What kind of learning algorithm for "Facial identities or facial expressions"?
Recognizing Anomalies
Prediction
Generating Patterns
Recognition Patterns
A major benefit of an machine with AI is
it could do a job too dangerous for a human
it could love you like a brother
it could chop up your vegetables
