Isye 6501 final exam 1 - Study guides, Class notes & Summaries
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ISYE 6501 Midterm EXAM QUESTIONS AND SOLUTIONS LATEST UPDATE 2023/2024
- Exam (elaborations) • 10 pages • 2023
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ISYE 6501 Midterm EXAM 
QUESTIONS AND SOLUTIONS 
LATEST UPDATE 2023/2024 
Factor Based Models 
classification, clustering, regression. Implicitly assumed that we have a lot of factors in 
the final model 
Why limit number of factors in a model? 2 reasons 
overfitting: when # of factors is close to or larger than # of data points. Model may fit 
too closely to random effects 
simplicity: simple models are usually better 
Classical variable selection approaches 
1. Forward selection 
2. Backwa...
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ISYE 6501 Final PRACTICE EXAM (QUESIONS AND ANSWERS)
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ISYE 6501 Final PRACTICE EXAM 
(QUESIONS AND ANSWERS) 
Factor Based Models - CORRECT ANSWER-classification, clustering, regression. 
Implicitly assumed that we have a lot of factors in the final model 
Why limit number of factors in a model? 2 reasons - CORRECT ANSWER-overfitting: 
when # of factors is close to or larger than # of data points. Model may fit too closely to 
random effects 
simplicity: simple models are usually better 
Classical variable selection approaches - CORRECT ANSWER-1....
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ISYE 6501 FINAL QUIZ 1 GT STUDENTS & VERIFIED EXAM SOLUTION , Georgia Institute Of Technology
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ISYE 6501 FINAL QUIZ 1 GT STUDENTS & VERIFIED EXAM SOLUTION , Georgia Institute Of Technology
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Bundle For ISYE 6501 Exam Questions with Complete Solutions
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ISYE 6501 Final Exam Questions with Complete Solutions

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ISYE 6501 Midterm 2 Questions with All Correct Answers

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ISYE 6501 Midterm 1 Questions

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ISYE 6501 Midterm Exam Questions with Complete Solutions
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ISYE 6501 Midterm Quiz 2 and Final quiz 1:GT STUDENTS &VERIFIED EXAM SOLUTION 2023
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ISYE 6501 Midterm Quiz 2 and Final quiz 1:GT STUDENTS &VERIFIED EXAM SOLUTION 2023
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Isye 6501 Final exam with complete solution
- Exam (elaborations) • 45 pages • 2023
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Isye 6501 Final exam with complete solution 
1.	1-norm: Similar to rectilinear distance; measures the straight-line length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is square root(|5g1|+|5g2|+ï+|5g5Z| = |5m£g1o|+v|e5rgi2=|1+ï|+5|g55gV| |= 
2.	A/B Testing: testing two alternatives to see which one performs better 
3.	2-norm: Similar to Euclidian distance; measures the straight-line length of a 
vector from the origin. If z=(z1,z2,...
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ISYE 6501 FINAL EXAM 2022/2023 WITH COMPLETE SOLUTION
- Exam (elaborations) • 15 pages • 2022
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ISYE 6501 FINAL EXAM WITH COMPLETE 
SOLUTION 2022/2023 
 
1.	Factor Based Models: classification, clustering, regression. Implicitly assumed that we have a lot of factors in the final model 
2.	Why limit number of factors in a model? 2 reasons: overfitting: when # of factors is close to or larger than # of data points. Model may fit too closely to random effects simplicity: simple models are usually better 
3.	Classical variable selection approaches: 1. Forward selection 
2. Backwards eli...
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Isye 6501 Final exam with complete solution 2023
- Exam (elaborations) • 45 pages • 2023
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- $12.49
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Isye 6501 Final exam with complete solution 2023 
1.	1-norm: Similar to rectilinear distance; measures the straight-line length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is square root(|5g1|+|5g2|+ï+|5g5Z| = |5m£g1o|+v|e5rgi2=|1+ï|+5|g55gV| |= 
2.	A/B Testing: testing two alternatives to see which one performs better 
3.	2-norm: Similar to Euclidian distance; measures the straight-line length of a 
vector from the origin. If z=(z...
-
ISYE 6501 FINAL EXAM QUESTIONS WITH ALL CORRECT ANSWERS
- Exam (elaborations) • 22 pages • 2023
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ISYE 6501 FINAL EXAM QUESTIONS WITH ALL CORRECT ANSWERS 
 
What does SVM stand for? - ANSWER- Support Vector Machine 
 
Is written text structured or unstructured? - ANSWER- Unstructured 
 
When we increase the sum of the square of the coefficients, we... - ANSWER- Decrease the distance between the lines 
 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - ANSWER- margin and errors 
 
If lambda gets small what gets emphasized, large margin or minimizing training erro...
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