Isye 6501 midterm 1 - Study guides, Class notes & Summaries

Does a SVM classifier need to be a straight line? - No, SVM can be generalized using kernel methods that allow for nonlinear classifiers. Software has a kernel SVM function that you can use to solve for both linear and nonlinear classifiers Should you scale your data in a SVM model? - Yes, so the orders of magnitude are approximately the same. Data must be in bounded range. Common scaling: data between 0 and 1 a. Scale factor by factor b. Linearly What if it's not possible to separate ...

ISYE 6501 MIDTERM 1 EXAM TEST 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 be best? (e.g., where to put traffic lights) What is a model? - CORRECT ANSWER-Real-life situation expressed as math. What do classifiers help you do? - CORRECT ANSWE...

ISYE 6501 Midterm 1.

ISYE 6501 Midterm 1 with 100% correct answers

ISYE 6501 Midterm 1 Glossary Questions with 100% correct answers | verified | latest update 2024

ISYE 6501 Midterm 1 Questions and Answers 2023.

ISYE 6501 MIDTERM 1 | QUESTIONS AND ANSWERS

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 be best? (e.g., where to put traffic lights) What is a model? - CORRECT ANSWER-Real-life situation expressed as math. What do classifiers help you do? - CORRECT ANSWER-differentiate What is a soft...

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 space (n is the number of features you have) with the value of each feat...