Isye 6501 stuvia Study guides, Class notes & Summaries

What do descriptive questions ask? - ANSWERSWhat happened? (e.g., which customers are most alike) What do predictive questions ask? - ANSWERSWhat will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - ANSWERSWhat action(s) would be best? (e.g., where to put traffic lights) What is a model? - ANSWERSReal-life situation expressed as math. What do classifiers help you do? - ANSWERSdifferentiate What is a soft classifier and when is it used? - A...

What does SVM stand for? - ANSWERSSupport Vector Machine Is written text structured or unstructured? - ANSWERSUnstructured When we increase the sum of the square of the coefficients we... - ANSWERSDecrease the distance between the lines In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - ANSWERSmargin and errors If lambda gets small what gets emphasized, large margin or minimizing training error?, - ANSWERSMinimizing errors. What is a support vector? - A...

when might overfitting occur - ANSWERSwhen 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 - ANSWERSless data is required; less chance of insignificant factors and easier to interpret what is forward selection - ANSWERSwe 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 model with the current set of ...

Rows - ANSWERSData points are values in data tables Columns - ANSWERSThe 'answer' for each data point (response/outcome) Structured Data - ANSWERSQuantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - ANSWERSText Support Vector Model - ANSWERSSupervised 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 feat...

What do descriptive questions ask? - ANSWERSWhat happened? (e.g., which customers are most alike) What do predictive questions ask? - ANSWERSWhat will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - ANSWERSWhat action(s) would be best? (e.g., where to put traffic lights) What is a model? - ANSWERSReal-life situation expressed as math. What do classifiers help you do? - ANSWERSdifferentiate What is a soft classifier and when is it used? - A...

What does SVM stand for? - ANSWERSSupport Vector Machine Is written text structured or unstructured? - ANSWERSUnstructured When we increase the sum of the square of the coefficients we... - ANSWERSDecrease the distance between the lines In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - ANSWERSmargin and errors If lambda gets small what gets emphasized, large margin or minimizing training error?, - ANSWERSMinimizing errors. What is a support vector? - A...

when might overfitting occur - ANSWERSwhen 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 - ANSWERSless data is required; less chance of insignificant factors and easier to interpret what is forward selection - ANSWERSwe 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 model with the current set of ...

Rows - ANSWERSData points are values in data tables Columns - ANSWERSThe 'answer' for each data point (response/outcome) Structured Data - ANSWERSQuantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - ANSWERSText Support Vector Model - ANSWERSSupervised 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 feat...