Garch Guides d'étude, Notes de cours & Résumés

Classification problems are commonly solved using what model(s)? : Support Vector Machine Clustering problems are commonly solved using what model(s)? : k-means Response Prediction questions are commonly solved using what model(s)? : -ARIMA -CART -Exponential smoothing -linear regression -logistic regression -Random Forest Validation questions are commonly solved using what model(s)? : -Cross Validation 2 | P a g e Variance Estimation questions are commonly solved using what model...

ISYE 6501 REAL MIDTERM EXAM | REAL EXAM QUESTIONS WITH CORRECT ANSWERS AS PER MARKING SCHEME Instructions Work alone. Do not collaborate with or copy from anyone else. You may use any of the following resources: One sheet(both sides) of handwritten (not photocopied, scanned, or printed) notes If any question seems ambiguous, use the most reasonable interpretation (i e don't be like Calvin): Instructors know about the issue in a private Piazza post afterwards. Good luck! 1...

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

MODULE 2: THE ARCHIPELAGO The Tesseract (Excerpt) by Alex Garland (USA) GUIDE QUESTIONS: 1. Sean says two words aloud. What are they? What is their significance to the story? ANSWER: Sean says the words “stains” and “heat” aloud. Based from what I’ve understand, stains signify the dirt, dust or smoke in the hotel room; blood stains are also present in the bed sheets. Heat signify the oozing temperature of the hotel room and of the city. 2. How can these two words be seen as meta...

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. ...

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 ...

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...

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, random forest, SVM's Classification models - CORRECT ANSWER-CART, k-nearest-neighbor, logistic regression, random forest, support vector machine Clustering - CORRECT ANSWER-k-means Response predictio...

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

What does LDV stand for - Large data volumes. A simplistic rule of thumb is any table over 2 million records In the context of LDV design what can Heroku be used for - To bring external data from outside salesforce What are the 4 phases when figuring out an LDV approach - 1. Design - Get to know the application. Get data volumes. Understand data growth. 2. Load - Use Bulk API to reduce load times. 3. Sharing - The record sharing in SF will have a huge impact on LDV performance. 4. Mainte...