Isye 6501 Study guides, Class notes & Summaries
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ISYE 6501 FINAL EXAM 2024 WITH 100% CORRECT ANSWERS
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1-norm Answer - 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(|
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ISYE 6501 - MIDTERM 1 Q&A 2024
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ISYE 6501 - MIDTERM 1 Q&A 2024
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ISYE 6501 Midterm 1 (2023/2024) Already Graded A
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ISYE 6501 Midterm 1 (2023/2024) Already Graded A Rows Data points are values in data tables 
Columns The 'answer' for each data point (response/outcome) 
Structured Data Quantitative, Categorical, Binary, Unrelated, Time Series 
Unstructured Data Text 
Support Vector Model Supervised machine learning algorithm used for both classification and regression challenges. Mostly used in classification problems by plotting each data item as a point in n-dimensional space (n is the number of features y...
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ISYE 6501 Midterm Exam 1 Questions and Correct Answers
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ISYE 6501 Midterm Exam 1 Questions and Correct Answers
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ISYE 6501 Midterm Questions and Answers Already Graded A
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ISYE 6501 Midterm Questions and Answers Already Graded A What does SVM stand for? Support Vector Machine 
Is written text structured or unstructured? Unstructured 
When we increase the sum of the square of the coefficients we... Decrease the distance between the lines 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ margin and errors 
If lambda gets small what gets emphasized, large margin or minimizing training error?, Minimizing errors. 
What is a support vector? A...
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ISYE 6501 - Midterm 1 Questions and Answers 100% Pass
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ISYE 6501 - Midterm 1 Questions and Answers 100% Pass 
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?) 
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 used? In ...
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ISYE 6501 Midterm Quiz 2 - GT Students and Verified MM Learners 2024 With Complete Solution
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ISYE 6501 Midterm Quiz 2 - GT Students and Verified MM Learners 2024 With Complete Solution 
 
Midterm Quiz 2 - GT Students and Verified MM Learners
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ISYE 6501 FINAL EXAM WITH COMPLETE SOLUTION 2022/2023
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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 - Midterm 2 Questions and Answers 100% Correct
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ISYE 6501 - Midterm 2 Questions and Answers 100% Correct 
when might overfitting occur when the # of factors is close to or larger than the # of data points causing the model to potentially fit too closely to random effects 
Why are simple models better than complex ones less data is required; less chance of insignificant factors and easier to interpret 
what is forward selection we select the best new factor and see if it's good enough (R^2, AIC, or p-value) add it to our model and fit the mod...
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