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Questions and Answers
What type of tasks can Support Vector Machines (SVM) be used for?
What type of tasks can Support Vector Machines (SVM) be used for?
- Weather prediction, stock market analysis, social media monitoring
- Music composition, video editing, game development
- Summarization, translation, transcription
- Text classification, image classification, spam detection (correct)
What is the main goal in SVM when finding the hyperplane?
What is the main goal in SVM when finding the hyperplane?
- Only consider one class for separation
- Ignore the margin and focus on speed
- Maximize the margin between the classes (correct)
- Minimize the margin between the classes
What are support vectors in SVM?
What are support vectors in SVM?
- Data points farthest from the hyperplane
- Data points in the center of the data distribution
- Data points closest to the hyperplane (correct)
- Data points in a random order
How do SVMs handle high-dimensional data?
How do SVMs handle high-dimensional data?
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What is the role of hyperplanes in SVM?
What is the role of hyperplanes in SVM?
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Why is maximizing the margin important in SVM?
Why is maximizing the margin important in SVM?
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