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ISYE 6501 - Midterm 1 Exam questions and answers Graded A+ 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 b
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March 2026

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Available in bundle
ISYE 6501 - Midterm 1 Exam questions and answers Graded A+ 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 clas...
DrJOHNJAMES
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Exam (elaborations)

ISYE 6501 - Midterm 1 Exam questions and answers Graded A+
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March 2026

2025/2026

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ISYE 6501 - Midterm 1 Exam questions and answers Graded A+ 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 clas...
DrJOHNJAMES
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Exam (elaborations)

ISYE 6501 - Final Exam questions and answers Graded A+
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March 2026

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ISYE 6501 - Final Exam questions and answers Graded A+ 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...
DrJOHNJAMES
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Exam (elaborations)

ISYE 6501 Midterm Exam questions and answers Graded A+
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March 2026

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ISYE 6501 Midterm Exam questions and answers 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...
DrJOHNJAMES
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Exam (elaborations)

ISYE 6501 Midterm 2 Terms Exam questions and answers Graded A+
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ISYE 6501 Midterm 2 Terms Exam questions and answers Graded A+ Backward elimination Variable selection process that starts with all variables and then iteratively removes the least-immediately-relevant variables from the model. Elastic net Combination of lasso and ridge regression. Forward selection Variable selection process that starts with no variables and then iteratively adds the most-immediately-relevant variables to the model. Lasso/Lasso regression Method for limiti...
DrJOHNJAMES
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Exam (elaborations)

ISYE 6501 Midterm 1 Exam questions and answers Graded A+
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ISYE 6501 Midterm 1 Exam questions and answers 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 s...
DrJOHNJAMES
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Exam (elaborations)

ISYE 6501 Mid Term 1 Exam questions and answers Graded A+
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ISYE 6501 Mid Term 1 Exam questions and answers Graded A+ What is modeling? - Describing a real life situation mathematically Model - Mathematical approaches to solving analytics problems 1. Regression for ex. can be called the model of choice. 2. If more detail (descriptive and numerical), the use of, for ex. Regression, can be called the model. 3. The actual values and output along with 1 and 2 can be referred to as the model. Cross Cutting Concepts - Preparing data, measurin...
DrJOHNJAMES
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Exam (elaborations)

Isye 6501 Final Exam questions and answers Graded A+
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Isye 6501 Final Exam questions and answers Graded A+ 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(|
DrJOHNJAMES
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ISYE 6501 Final Model Review Exam questions and answers Graded A+
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ISYE 6501 Final Model Review Exam questions and answers Graded A+ What is the difference between supervised and unsupervised learning? - Supervised learning uses labeled data, while unsupervised learning works with unlabeled data. What is overfitting, and how can it be prevented? - Overfitting occurs when a model learns noise instead of the signal in training data. It can be prevented using regularization, cross-validation, or by reducing model complexity. What is the purpose of ...
DrJOHNJAMES
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