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ISYE 6501 - Week 1: Introduction and Classification Questions and Answers with complete solution
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Descriptive Question - Questions that ask for explanations of what happened Predictive Questions - Questions that ask what's going to happen in the future Prescriptive Questions - Questions that ask what action or actions would be best General Questions - Generic questions on data analytics Mod...
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Add to cartDescriptive Question - Questions that ask for explanations of what happened Predictive Questions - Questions that ask what's going to happen in the future Prescriptive Questions - Questions that ask what action or actions would be best General Questions - Generic questions on data analytics Mod...
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ISYE 6501 Final Questions and Answers with complete solution
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Support Vector Machine - A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons - Pros: It works really well with a clear margin of separation ...
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Add to cartSupport Vector Machine - A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons - Pros: It works really well with a clear margin of separation ...
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ISYE 6501 Midterm 1 Exam Solved 100% Correct!!
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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 classificat...
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Add to cartRows - 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 classificat...
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Isye 6501 Final exam | 323 Questions and Answers 100% Correct
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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(|
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Add to cart1-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(|
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