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Data Science Interview Questions and Answers

Question: What is the curse of dimensionality?

Answer: The curse of dimensionality refers to the challenges and increased computational requirements that arise when working with high-dimensional data. As the number of features increases, the data becomes more sparse, making it harder to generalize patterns.

Example:

In high-dimensional spaces, data points are more spread out, and distance metrics become less meaningful.

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