Top Machine Learning Questions and Answers for Exam Preparation

Explore top Machine Learning questions and answers to boost your exam preparation and enhance your understanding of key concepts.

Machine Learning Questions

Q. Which technique is used to improve model generalization?

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Q. What is the purpose of the Xavier initialization?

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Q. Which metric is used to evaluate the consistency of clustering?

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Q. What is the role of the embedding layer in neural networks?

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Q. Which algorithm is used for survival analysis?

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Q. What is the purpose of the attention mechanism in transformers?

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Q. Which technique is used to handle missing values with machine learning?

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Q. What does the term ‘convergence’ mean in optimization?

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Q. Which algorithm is used for sequential data modeling?

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Q. What is the purpose of the grid search in machine learning?

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