ISYE 6501 MIDTERM 1 COMPLETE EXAM WITH UPGRADED QUESTIONS AND ANSWERS ISYE 6501 MIDTERM 1 FINAL PRACTICE TEST ISYE 6501 MIDTERM EXAM GRADED A+ LATEST QUESTIONS AND ANSWERS FOR ISYE 6501 FINAL ISYE 6501 FINAL ACTUAL EXAM (UPDATED QUESTIONS AND ANSWERS ISYE 6501 MIDTERM 1 EXAM WITH COMPLETE SOLUTION ...
[Meer zien]
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., which customers are most alike) What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would b...
Voorbeeld 3 van de 20 pagina's
In winkelwagenWhat do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., which customers are most alike) What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would b...
Factor Based Models - CORRECT ANSWER-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 - CORRECT ANSWER-overfitting: when # of factors is close to or larger than # of data points. Model m...
Voorbeeld 2 van de 11 pagina's
In winkelwagenFactor Based Models - CORRECT ANSWER-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 - CORRECT ANSWER-overfitting: when # of factors is close to or larger than # of data points. Model m...
Matching models/methods to categories - CORRECT ANSWER-(cusum and pca = NONE) Select all of the following models that are designed for use with attribute/feature data (i.e., not time-series data): - CORRECT ANSWER-k-nearest-neighbor, PCA, k-means, logistic regression, linear regression, rando...
Voorbeeld 1 van de 2 pagina's
In winkelwagenMatching models/methods to categories - CORRECT ANSWER-(cusum and pca = NONE) Select all of the following models that are designed for use with attribute/feature data (i.e., not time-series data): - CORRECT ANSWER-k-nearest-neighbor, PCA, k-means, logistic regression, linear regression, rando...
1-norm - CORRECT ANSWER-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(|
Voorbeeld 3 van de 25 pagina's
In winkelwagen1-norm - CORRECT ANSWER-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(|
Rows - CORRECT ANSWER-Data points are values in data tables Columns - CORRECT ANSWER-The 'answer' for each data point (response/outcome) Structured Data - CORRECT ANSWER-Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - CORRECT ANSWER-Text Support Vector Model - C...
Voorbeeld 2 van de 11 pagina's
In winkelwagenRows - CORRECT ANSWER-Data points are values in data tables Columns - CORRECT ANSWER-The 'answer' for each data point (response/outcome) Structured Data - CORRECT ANSWER-Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - CORRECT ANSWER-Text Support Vector Model - C...
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., which customers are most alike) What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would b...
Voorbeeld 4 van de 33 pagina's
In winkelwagenWhat do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., which customers are most alike) What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would b...
Support Vector Machine - CORRECT ANSWER-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 - CORRECT ANSWER-Pros: It works really well wit...
Voorbeeld 2 van de 8 pagina's
In winkelwagenSupport Vector Machine - CORRECT ANSWER-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 - CORRECT ANSWER-Pros: It works really well wit...
What does SVM stand for? -CORRECT ANSWER-Support Vector Machine Is written text structured or unstructured? -CORRECT ANSWER-Unstructured When we increase the sum of the square of the coefficients we... -CORRECT ANSWER-Decrease the distance between the lines In SVM soft classifier we tradeoff be...
Voorbeeld 3 van de 22 pagina's
In winkelwagenWhat does SVM stand for? -CORRECT ANSWER-Support Vector Machine Is written text structured or unstructured? -CORRECT ANSWER-Unstructured When we increase the sum of the square of the coefficients we... -CORRECT ANSWER-Decrease the distance between the lines In SVM soft classifier we tradeoff be...
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. - CORRECT ANSWER-True - Each leaf's individual model is tailored to the subset of data points that follow all of the branches le...
Voorbeeld 2 van de 6 pagina's
In winkelwagenTrue 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. - CORRECT ANSWER-True - Each leaf's individual model is tailored to the subset of data points that follow all of the branches le...
Stuvia-klanten hebben meer dan 700.000 samenvattingen beoordeeld. Zo weet je zeker dat je de beste documenten koopt!
Je betaalt supersnel en eenmalig met iDeal, creditcard of Stuvia-tegoed voor de samenvatting. Zonder lidmaatschap.
Samenvattingen worden geschreven voor en door anderen. Daarom zijn de samenvattingen altijd betrouwbaar en actueel. Zo kom je snel tot de kern!
Je krijgt een PDF, die direct beschikbaar is na je aankoop. Het gekochte document is altijd, overal en oneindig toegankelijk via je profiel.
Onze tevredenheidsgarantie zorgt ervoor dat je altijd een studiedocument vindt dat goed bij je past. Je vult een formulier in en onze klantenservice regelt de rest.
Stuvia is een marktplaats, je koop dit document dus niet van ons, maar van verkoper TIFFACADEMICS. Stuvia faciliteert de betaling aan de verkoper.
Nee, je koopt alleen deze samenvatting voor $21.99. Je zit daarna nergens aan vast.
4,6 sterren op Google & Trustpilot (+1000 reviews)
Afgelopen 30 dagen zijn er 86633 samenvattingen verkocht
Opgericht in 2010, al 14 jaar dé plek om samenvattingen te kopen
