Category: Root

If the Data Changes i.e. new data comes what happens to k-nearest neighbor and k-means clustering?

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What is Bagging?

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What is Stacking?

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What is Naive Bayes? Why is it called Naive Bayes?

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Does Naive Bayes uses Conditional Probability? If so how and why?

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Bias and Variance in the data and corresponding effect. Can you explain that?

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What is VC dimension?

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Bias and Variance in the prediction and corresponding effect. Can you explain that?

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What do desire in bias and variance in the prediction. Answer in terms of High and Low.

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What are some core and/or popular Machine Learning Algorithms.

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