Answer / Charitra Mishra

Machine learning is used in various applications such as image recognition, speech recognition, natural language processing, recommendation systems, fraud detection, and autonomous vehicles.

What do you understand by decision tree in machine learning?

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What is not Machine Learning?

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What do you think of our current data process?

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What is batch statistical learning?

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What is classification and regression in machine learning?

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What is ROC curve and what does it represent?

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Tell us which do you think is more important: model accuracy or model performance?

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Assume that you are working on a data set, explain how would you select important variables?

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Tell us what kind of problems does regularization solve?

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Explain me what's the trade-off between bias and variance?

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What are the three stages of building the hypotheses or model in machine learning?

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When should one use mean absolute error over root mean square error as a performance measure for regression problems?

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