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Machine Learning (ML) MCQs | Page - 56
Dear candidates you will find MCQ questions of Machine Learning (ML) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
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Q. 100 people are at party. Given data gives informa
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Q. The effectiveness of an SVM depends upon:
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Q. Support vectors are the data points that lie closest to the decision
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Q. Suppose you are using RBF kernel in SVM with high Gamma valu
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Q. Which of the following are real world applications of the SVM?
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Q. Suppose you have trained an SVM with linear decision boundary after training SVM, you correctly infer that your SVM model is under fitting.Which of the following option would you more likely to consider iterating SVM next time?
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Q. We usually use feature normalization before using the Gaussian k
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Q. Linear SVMs have no hyperparameters that need to be set by cross-valid
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Q. The process of forming general concept definitions from examples of concepts to be learned.
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