Machine Learning (ML) MCQs | Page - 45
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. Linear SVMs have no hyperparameters that need to be set by cross-validation
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Q. For the given weather data, what is the probability that players will play if weather is sunny
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Q. 100 people are at party. Given data gives information about how many wear pink or not, and if a man or not. Imagine a pink wearing guest leaves, what is the probability of being a man
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Q. What are the different Algorithm techniques in Machine Learning?
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Q. can be adopted when it's necessary to categorize a large amount of data with a few complete examples or when there's the need to
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Q. In reinforcement learning, this feedback is usually called as .
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Q. In the last decade, many researchers started training bigger and bigger models, built with several different layers that's why this approach is called .
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Q. When it is necessary to allow the model to develop a generalization ability and avoid a common problem called .
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