ISYE Guías de estudio, Notas de estudios & Resúmenes

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ISYE6414 FINAL EXAM 2022-2024 / ISYE6414 FINAL EXAM  REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS  PLUS RATIONALES/ GRADED A
  • ISYE6414 FINAL EXAM 2022-2024 / ISYE6414 FINAL EXAM REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS PLUS RATIONALES/ GRADED A

  • Examen • 59 páginas • 2024
  • ISYE6414 FINAL EXAM / ISYE6414 FINAL EXAM REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS PLUS RATIONALES/ GRADED A The prediction interval of one member of the population will always be larger than the confidence interval of the mean response for all members of the population when using the same predicting values. -ANSWER-- true See 1.7 Regression Line: Estimation & Prediction Examples "Just to wrap up the comparison, the confidence intervals under estimation are narrower than the p...
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ISYE-6501 Exam 1 QUESTIONS &  CORRECT ANSWERS
  • ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS

  • Examen • 19 páginas • 2024
  • ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS Algorithm - ANSWER a step-by-step procedure designed to carry out a task Change Detection - ANSWER Identifying when a significant change has taken place Classification - ANSWER Separation of data into two or more categories Classifier - ANSWER A boundary that separates data into two or more categories Cluster - ANSWER A group of points that are identified as being similar or near each other Cluster Center - ANSWER In some clustering ...
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SYE 6501 - Introduction to  Analytics Weeks 1 – 7 Combined Frequent Exam  Questions Correctly Answered
  • SYE 6501 - Introduction to Analytics Weeks 1 – 7 Combined Frequent Exam Questions Correctly Answered

  • Examen • 17 páginas • 2024
  • 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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ISYE 6501 - Midterm 2 EXAM  QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST  UPDATE
  • ISYE 6501 - Midterm 2 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE

  • Examen • 21 páginas • 2024
  • ISYE 6501 - Midterm 2 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE When might overfitting occur - ANSWER 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 - ANSWER less data is required; less chance of insignificant factors and easier to interpret What is forward selection - ANSWER we select the best new factor and see if it's good ...
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE
  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE

  • Examen • 7 páginas • 2024
  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learning algorithm used for? - ANSWER Classification How to split the data if we only have one model? - ANSWER 70% training data, 30% testing data How to split the data if we want to compare models? - ANSWER 70% training, 15% validation and 15% testing When do we need to do scaling in data? - ANSWER When our factors/attributes/dimensions are orders of magnitude differe...
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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

  • Examen • 8 páginas • 2024
  • 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 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

  • Examen • 8 páginas • 2024
  • 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 - Final Prep – Midterm Questions With  Correct Answers
  • ISYE 6501 - Final Prep – Midterm Questions With Correct Answers

  • Examen • 3 páginas • 2024
  • ISYE 6501 - Final Prep – Midterm Questions With Correct Answers Types of classification models KNN SVM Types of Clustering Models K-Means Clustering Types of Response Prediction Models ARIMA CART Exponential Smoothing Linear Regression Logistic Regression Random Forest Types of Validation Method Cross Validation Types of Variation Estimate Models GARCH Models that use Time Series Data ARIMA CUSUM GARCH Exponential Smoothing Do models tend to perform better or worse on ...
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ISYE 6501 - Final Prep - Midterm 1 and 2 Review Latest Update Already Passed
  • ISYE 6501 - Final Prep - Midterm 1 and 2 Review Latest Update Already Passed

  • Examen • 2 páginas • 2024
  • Types of classification models Correct Answer-KNN SVM Types of Clustering Models Correct Answer-K-Means Clustering Types of Response Prediction Models Correct Answer-ARIMA CART Exponential Smoothing Linear Regression Logistic Regression Random Forest Types of Validation Method Correct Answer-Cross Validation Types of Variation Estimate Models Correct Answer-GARCH Models that use Time Series Data Correct Answer-ARIMA CUSUM GARCH Exponential Smoothing Do models tend to perform bette...
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ISYE 6501 - Final Prep - Midterm 1 and 2 Review Latest Update Already Passed
  • ISYE 6501 - Final Prep - Midterm 1 and 2 Review Latest Update Already Passed

  • Examen • 2 páginas • 2024
  • Types of classification models Correct Answer-KNN SVM Types of Clustering Models Correct Answer-K-Means Clustering Types of Response Prediction Models Correct Answer-ARIMA CART Exponential Smoothing Linear Regression Logistic Regression Random Forest Types of Validation Method Correct Answer-Cross Validation Types of Variation Estimate Models Correct Answer-GARCH Models that use Time Series Data Correct Answer-ARIMA CUSUM GARCH Exponential Smoothing Do models tend to perform bette...
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