K means clustering Samenvattingen, Aantekeningen en Examens
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ISYE 6501 - Introduction to Analytics Weeks 1 – 7 Combined Frequent Exam Questions Correctly Answered
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ISYE 6501 - Introduction to 
Analytics Weeks 1 – 7 
Combined Frequent Exam 
Questions Correctly Answered 
Support Vector Machine (SVM) - ANSWER Supervised learning 
classification tool and algorithm that seeks a dividing hyperplane 
for any number of dimensions can be used for regression or 
classification. 
Margin of Error (SVM) - ANSWER A small margin for error 
reduces your chances of misclassifying known data points but 
increases your chances of misclassifying unknown data points. ...
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MIST 6360 Final Exam Correct Questions and Answers!!
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Data Science - ANSWER interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured 
 
3 Analytical Approaches to Predictive Analytics - ANSWER Statistics, Artificial Intelligence, Machine Learning 
 
Statistics - ANSWER the foundation for predictive analytics -- the building blocks 
 
Ex: regression, factor & cluster analysis 
 
Artificial Intelligence - ANSWER uses heuristics- "rules of t...
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ISYE 6501 FINAL ACTUAL EXAM (UPDATED QUESTIONS AND ANSWERS)
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What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What do classifiers help you do? - CORRECT ANSWER-differentiate 
What is a soft...
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SRM EXAM STUDYGUIDE LATEST UPDATE
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SRM EXAM STUDYGUIDE LATEST UPDATE...
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ISYE 6501 - Midterm 1 2024 with complete verified solutions.
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What do descriptive questions ask? 
What happened? (e.g., which customers are most alike) 
 
 
What do predictive questions ask? 
What will happen? (e.g., what will Google's stock price be?) 
 
 
 
Brainpower 
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What do prescriptive questions ask? 
What action(s) would be best? (e.g., where to put traffic lights) 
 
 
What is a model? 
Real-life situation expressed as math. 
 
 
What do classifiers help you do? 
differentiate 
 
 
What is a soft classifier and when is it...
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ISYE 6501 MIDTERM 1 EXAM TEST
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What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What do classifiers help you do? - CORRECT ANSWER-differentiate 
What is a soft...
-
ISYE 6501 MIDTERM 1 VERIFIED EXAM TEST
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Matching models/methods to categories - CORRECT ANSWER-(cusum and pca = 
NONE) 
Select all of the following models that are designed for use with attribute/feature data 
(i.e., not time-series data): - CORRECT ANSWER-k-nearest-neighbor, PCA, k-means, 
logistic regression, linear regression, random forest, SVM's 
Classification models - CORRECT ANSWER-CART, k-nearest-neighbor, logistic 
regression, random forest, support vector machine 
Clustering - CORRECT ANSWER-k-means 
Response predictio...
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ISYE 6501 Practice Test Questions With Correct Answers
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ISYE 6501 Practice Test Questions With Correct Answers 
Algorithm - CORRECT ANSWER Step by step procedure designed to carry out a task 
 
Change Detection - CORRECT ANSWER Identifying when a significant change has taken place in a process. 
 
Classification - CORRECT ANSWER The separation of data into two or more categories or (a point's classification) the category a data point is put into 
 
Classifier - CORRECT ANSWER A bou...
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QUESTIONS AND ANSWERS FOR ISYE 6501 FINAL
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Support Vector Machine - CORRECT ANSWER-A supervised learning, classification 
model. Uses extremes, or identified points in the data from which margin vectors are 
placed against. The hyperplane between these vectors is the classifier 
SVM Pros/Cons - CORRECT ANSWER-Pros: It works really well with a clear margin of 
separation 
It is effective in high dimensional spaces. 
It is effective in cases where the number of dimensions is greater than the number of 
samples. 
It uses a subset of tra...
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ISYE 6501 - Introduction to Analytics Weeks 1 – 7 Combined Frequent Exam Questions Correctly Answered
- Tentamen (uitwerkingen) • 17 pagina's • 2023
-
Ook in voordeelbundel
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- $10.49
- + meer info
ISYE 6501 - Introduction to 
Analytics Weeks 1 – 7 
Combined Frequent Exam 
Questions Correctly Answered 
Support Vector Machine (SVM) - ANSWER Supervised learning 
classification tool and algorithm that seeks a dividing hyperplane 
for any number of dimensions can be used for regression or 
classification. 
Margin of Error (SVM) - ANSWER A small margin for error 
reduces your chances of misclassifying known data points but 
increases your chances of misclassifying unknown data points. ...
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