Science Computer Science Artificial Intelligence
ISYE 6501 - Midterm 1
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Tims - ISYE6501 Midterm 1 ISYE 6501 Midterm 1 AI-900 Exam
96 terms 110 terms 89 terms
felixkahara Preview claudiahays Preview mzekiosmancik
What do descriptive questions What happened? (e.g., which customers are most alike)
ask?
What do predictive questions What will happen? (e.g., what will Google's stock price be?)
ask?
What do prescriptive questions What action(s) would be best? (e.g., where to put traffic lights)
ask?
What is a model? Real-life situation expressed as math.
What do classifiers help you do? differentiate
In some cases, there won't be a line that separates all of the
What is a soft classifier and
labeled examples. So we use a classifier that minimizes the
when is it used?
number of mistakes.
What does it mean when the The horizontal attribute is all that is needed.
classifier/decision boundary is
almost parallel to the vertical x-
axis?
What does it mean when the The vertical attribute is all that is needed.
classifier/decision boundary is
almost parallel to the horizontal
y-axis?
The same data recorded over time often recorded at equal
What is time-series data?
intervals
Number with a meaning: higher means more, lower means less
What is quantitative data?
(e.g., age, sales, temperature, income)
Numbers w/o meaning (e.g., zip codes), non-numeric (e.g., hair
What is categorical data?
color), binary data (e.g., male/female, yes/no, on/off)
, Which of these is time series A
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
Which of these is structured B
data?
A. The contents of a person's
Twitter feed
B. The amount of money in a
person's bank account
What is structured data? Data that can be stores in a structured way
What is unstructured data? Data that is not easily described and stored (e.g., written text)
A survey of 25 people recorded A.
each person's family size and A data point is all the information about one observation
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
The farther the wrongly The bigger the mistake we've made
classified point is from the line
___
The term including the margin As lambda gets larger
gets larger so the importance of
a large margin out weights
avoiding mistakes and
classifying known data samples.
That term also drops towards As lambda drops towards zero
zero, so the importance of
minimizing mistakes and
classifying known data points
outweighs having a large
margin.
to find a classifier with maximum seperation or margin between
What can SVMs be used for
the two sets of points?
If it's impossible to avoid classification errors, SVM can find a
When to use SVM? classifier that trades off reducing errors and enlarging the
margin.
What does this formula describe?
Error for data point j
ISYE 6501 - Midterm 1
Save
Students also studied
Flashcard sets Study guides
Tims - ISYE6501 Midterm 1 ISYE 6501 Midterm 1 AI-900 Exam
96 terms 110 terms 89 terms
felixkahara Preview claudiahays Preview mzekiosmancik
What do descriptive questions What happened? (e.g., which customers are most alike)
ask?
What do predictive questions What will happen? (e.g., what will Google's stock price be?)
ask?
What do prescriptive questions What action(s) would be best? (e.g., where to put traffic lights)
ask?
What is a model? Real-life situation expressed as math.
What do classifiers help you do? differentiate
In some cases, there won't be a line that separates all of the
What is a soft classifier and
labeled examples. So we use a classifier that minimizes the
when is it used?
number of mistakes.
What does it mean when the The horizontal attribute is all that is needed.
classifier/decision boundary is
almost parallel to the vertical x-
axis?
What does it mean when the The vertical attribute is all that is needed.
classifier/decision boundary is
almost parallel to the horizontal
y-axis?
The same data recorded over time often recorded at equal
What is time-series data?
intervals
Number with a meaning: higher means more, lower means less
What is quantitative data?
(e.g., age, sales, temperature, income)
Numbers w/o meaning (e.g., zip codes), non-numeric (e.g., hair
What is categorical data?
color), binary data (e.g., male/female, yes/no, on/off)
, Which of these is time series A
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
Which of these is structured B
data?
A. The contents of a person's
Twitter feed
B. The amount of money in a
person's bank account
What is structured data? Data that can be stores in a structured way
What is unstructured data? Data that is not easily described and stored (e.g., written text)
A survey of 25 people recorded A.
each person's family size and A data point is all the information about one observation
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
The farther the wrongly The bigger the mistake we've made
classified point is from the line
___
The term including the margin As lambda gets larger
gets larger so the importance of
a large margin out weights
avoiding mistakes and
classifying known data samples.
That term also drops towards As lambda drops towards zero
zero, so the importance of
minimizing mistakes and
classifying known data points
outweighs having a large
margin.
to find a classifier with maximum seperation or margin between
What can SVMs be used for
the two sets of points?
If it's impossible to avoid classification errors, SVM can find a
When to use SVM? classifier that trades off reducing errors and enlarging the
margin.
What does this formula describe?
Error for data point j
