Isye 6501 exam 1 2023 - Study guides, Class notes & Summaries

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ISYE-6501 Exam 1 -2023
  • ISYE-6501 Exam 1 -2023

  • Exam (elaborations) • 16 pages • 2023
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  • ISYE-6501 Exam 1 -2023...
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ISYE 6501 MIDTERM 1 EXAM 1 TESTBANK LATEST 2022-2023 WITH QUESTIONS AND ANSWERS|A+GRADE
  • ISYE 6501 MIDTERM 1 EXAM 1 TESTBANK LATEST 2022-2023 WITH QUESTIONS AND ANSWERS|A+GRADE

  • Exam (elaborations) • 44 pages • 2023
  • ISYE 6501 MIDTERM 1 EXAM 1 TESTBANK LATEST 2022-2023 WITH QUESTIONS AND ANSWERS|A+GRADE Rows - ANSWER- Data points are values in data tables Columns - ANSWER- The 'answer' for each data point (response/outcome) Structured Data - ANSWER- Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - ANSWER- Text Support Vector Model - ANSWER- Supervised machine learning algorithm used for both classification and regression challenges. Mostly used in classificati...
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ISYE 6501 Midterm EXAM QUESTIONS  WITH 100%  SOLUTIONS LATEST  UPDATE 2023/2024
  • ISYE 6501 Midterm EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024

  • Exam (elaborations) • 22 pages • 2023
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  • ISYE 6501 Midterm EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024 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 minimiz...
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ISYE 6501 Midterm EXAM QUESTIONS  WITH 100%  SOLUTIONS LATEST  UPDATE 2023/2024
  • ISYE 6501 Midterm EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024

  • Exam (elaborations) • 22 pages • 2023
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  • ISYE 6501 Midterm EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024 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 minimiz...
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Exam ISYE 6501 Midterm Quiz 1-with 100% verified answers-2022-2023 ISYE 6501 Midterm Quiz 1-with 100% verified answers-2022-2023
  • Exam ISYE 6501 Midterm Quiz 1-with 100% verified answers-2022-2023 ISYE 6501 Midterm Quiz 1-with 100% verified answers-2022-2023

  • Exam (elaborations) • 47 pages • 2023
  • Exam ISYE 6501 Midterm Quiz 1-with 100% verified answers-2022-2023 ISYE 6501 Midterm Quiz 1-with 100% verified answers-2022-2023Course Midter… Step 2: … Step 2: … Step 2: Midterm Quiz 1 - GT Students (Launch Proctortrack first before taking the Midterm Quiz 1) 95 Minute Time Limit Instructions Work alone. Do not collaborate with or copy from anyone else. You may use any of the following resources: One sheet (both sides) of handwritten (not photocopied or scanned) notes ...
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ISYE 6501 Midterm 1 EXAM  QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST  UPDATE 2023/2024
  • ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE 2023/2024

  • Exam (elaborations) • 8 pages • 2023
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  • ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE 2023/2024 True or false: In a regression tree, every leaf of the tree has a different regression model that might use different attributes, have different coefficients, etc. - ANSWER True - Each leaf's individual model is tailored to the subset of data points that follow all of the branches leading to the leaf. True or false: Tree-based approaches can be used for other models besides regression. - ANSW...
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ISYE 6501 Midterm EXAM  QUESTIONS AND SOLUTIONS  LATEST UPDATE 2023/2024
  • 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 Exam 2  QUESTIONS WITH  100% VERIFIED  SOLUTIONS LATEST  UPDATE 2023/2024
  • ISYE 6501 Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024

  • Exam (elaborations) • 3 pages • 2023
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  • ISYE 6501 Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024 What are some of the consequences of outliers in k-means? - ANSWER It will drag the cluster center artificially to one side Because k-means is a heuristic and thus fast what can we do? - ANSWER run it several times choosing different clusters centers and choose the best one and we can choose different values of k How does bias/variance change as k changes in KNN? - ANSWER the higher the k, the high...
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ISYE 6501 -Exam 2  QUESTIONS WITH  100% VERIFIED  SOLUTIONS LATEST  UPDATE 2023/2024
  • ISYE 6501 -Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024

  • Exam (elaborations) • 9 pages • 2023
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  • ISYE 6501 -Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024 Building simpler models with fewer factors helps avoid which problems? A. Overfitting B. Low prediction quality C. Bias in the most important factors D. Difficulty in interpretation - ANSWER A. Overfitting D. Difficulty of interpretation Two main reasons to limit # of factors in a model. - ANSWER 1. Overfitting 2. Simplicity When is overfitting likely to happen? - ANSWER When the number of factors i...
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