Question

What is dimensionality reduction in machine learning?

Answer 1

Answer:

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Explanation:

In statistics, machine learning, and information theory, dimensionality reduction or dimension reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables.

Answer 2

Dimensionality reduction refers to techniques that reduce the number of input variables in a dataset. Large numbers of input features can cause poor performance for machine learning algorithms. Dimensionality reduction is a general field of study concerned with reducing the number of input features.

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