ISYE 6501 Final Exam | Actual Exam, High-Yield
Questions & Answers& Study Guide |100% Guarantee
Pass and Accurate | Well Elaborated Questions with
Correct Answers| Latest Version Verified For Accuracy
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What do descriptive questions ask?
ANSWER:
What happened? (e.g., which customers are most alike)
What do predictive questions ask?
ANSWER:
What will happen? (e.g., what will Google's stock price be?)
What do prescriptive questions ask?
ANSWER:
What action(s) would be best? (e.g., where to put traffic lights)
What is structured data?
ANSWER:
Data that can be stores in a structured way
What is unstructured data?
ANSWER:
Data that is not easily described and stored (e.g., written text)
What is a model?
ANSWER:
Real-life situation expressed as math.
What do classifiers help you do?
,ANSWER:
differentiate
What is a soft classifier and when is it used?
ANSWER:
In some cases, there won't be a line that separates all of the labeled examples.
So we use a classifier that minimizes the number of mistakes.
What does it mean when the classifier/decision boundary is almost parallel to
the vertical x-axis?
ANSWER:
The horizontal attribute is all that is needed.
What does it mean when the classifier/decision boundary is almost parallel to
the horizontal y-axis?
ANSWER:
The vertical attribute is all that is needed.
What is time-series data?
ANSWER:
The same data recorded over time often recorded at equal intervals
What is quantitative data?
ANSWER:
Number with a meaning: higher means more, lower means less (e.g., age, sales,
temperature, income)
What is categorical data?
ANSWER:
Numbers w/o meaning (e.g., zip codes), non-numeric (e.g., hair color), binary
data (e.g., male/female, yes/no, on/off)
Which of these is time series data?
A. The average cost of a house in the United States every year since 1820
B. The height of each professional basketball player in the NBA at the start of
the season
,ANSWER:
A
Which of these is structured data?
A. The contents of a person's Twitter feed
B. The amount of money in a person's bank account
ANSWER:
B
A survey of 25 people recorded each person's family size and type of car. Which
of these is a data point?
A. The 14th person's family size and car type
B. The 14th person's family size
C.The car type of each person
ANSWER:
A.
A data point is all the information about one observation
The farther the wrongly classified point is from the line ___
ANSWER:
The bigger the mistake we've made
The term including the margin gets larger so the importance of a large margin
out weights avoiding mistakes and classifying known data samples.
ANSWER:
As lambda gets larger
That term also drops towards zero, so the importance of minimizing mistakes
and classifying known data points outweighs having a large margin.
ANSWER:
As lambda drops towards zero
What can SVMs be used for?
ANSWER:
to find a classifier with maximum seperation or margin between the two sets of
points
, When to use SVM?
ANSWER:
If it's impossible to avoid classification errors, SVM can find a classifier that
trades off reducing errors and enlarging the margin.
Why is it important to scale our data when using SVM?
ANSWER:
We're looking to minimize the sum of the squares of the coefficients, but if our
data has very different scales a small change in one could swamp a huge
change in the other.
what does it signify when a coefficient for a classifier is close to zero
ANSWER:
it means the corresponding attribute is probably not relevant
What do kernel methods allow for in SVMs
ANSWER:
nonlinear classifiers
What is the common range for scaled data?
ANSWER:
between 0 and 1
What is the formula for min-max scaling?
ANSWER:
find min and max for a factor
what is common standardization and its formula?
ANSWER:
scaling to a normal distribution with a mean of 0 and standard deviation of 1.
what is the formula for general scaling between b and a
When do you use scaling?
ANSWER:
Questions & Answers& Study Guide |100% Guarantee
Pass and Accurate | Well Elaborated Questions with
Correct Answers| Latest Version Verified For Accuracy
| 100% Verified and Updated!!!!
What do descriptive questions ask?
ANSWER:
What happened? (e.g., which customers are most alike)
What do predictive questions ask?
ANSWER:
What will happen? (e.g., what will Google's stock price be?)
What do prescriptive questions ask?
ANSWER:
What action(s) would be best? (e.g., where to put traffic lights)
What is structured data?
ANSWER:
Data that can be stores in a structured way
What is unstructured data?
ANSWER:
Data that is not easily described and stored (e.g., written text)
What is a model?
ANSWER:
Real-life situation expressed as math.
What do classifiers help you do?
,ANSWER:
differentiate
What is a soft classifier and when is it used?
ANSWER:
In some cases, there won't be a line that separates all of the labeled examples.
So we use a classifier that minimizes the number of mistakes.
What does it mean when the classifier/decision boundary is almost parallel to
the vertical x-axis?
ANSWER:
The horizontal attribute is all that is needed.
What does it mean when the classifier/decision boundary is almost parallel to
the horizontal y-axis?
ANSWER:
The vertical attribute is all that is needed.
What is time-series data?
ANSWER:
The same data recorded over time often recorded at equal intervals
What is quantitative data?
ANSWER:
Number with a meaning: higher means more, lower means less (e.g., age, sales,
temperature, income)
What is categorical data?
ANSWER:
Numbers w/o meaning (e.g., zip codes), non-numeric (e.g., hair color), binary
data (e.g., male/female, yes/no, on/off)
Which of these is time series data?
A. The average cost of a house in the United States every year since 1820
B. The height of each professional basketball player in the NBA at the start of
the season
,ANSWER:
A
Which of these is structured data?
A. The contents of a person's Twitter feed
B. The amount of money in a person's bank account
ANSWER:
B
A survey of 25 people recorded each person's family size and type of car. Which
of these is a data point?
A. The 14th person's family size and car type
B. The 14th person's family size
C.The car type of each person
ANSWER:
A.
A data point is all the information about one observation
The farther the wrongly classified point is from the line ___
ANSWER:
The bigger the mistake we've made
The term including the margin gets larger so the importance of a large margin
out weights avoiding mistakes and classifying known data samples.
ANSWER:
As lambda gets larger
That term also drops towards zero, so the importance of minimizing mistakes
and classifying known data points outweighs having a large margin.
ANSWER:
As lambda drops towards zero
What can SVMs be used for?
ANSWER:
to find a classifier with maximum seperation or margin between the two sets of
points
, When to use SVM?
ANSWER:
If it's impossible to avoid classification errors, SVM can find a classifier that
trades off reducing errors and enlarging the margin.
Why is it important to scale our data when using SVM?
ANSWER:
We're looking to minimize the sum of the squares of the coefficients, but if our
data has very different scales a small change in one could swamp a huge
change in the other.
what does it signify when a coefficient for a classifier is close to zero
ANSWER:
it means the corresponding attribute is probably not relevant
What do kernel methods allow for in SVMs
ANSWER:
nonlinear classifiers
What is the common range for scaled data?
ANSWER:
between 0 and 1
What is the formula for min-max scaling?
ANSWER:
find min and max for a factor
what is common standardization and its formula?
ANSWER:
scaling to a normal distribution with a mean of 0 and standard deviation of 1.
what is the formula for general scaling between b and a
When do you use scaling?
ANSWER:
