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Question: In machine learning, what is the term for the process of reducing noise or variability in data?

Answer:

Preprocessing is the process of reducing noise or variability in data, which often includes steps like data cleaning and normalization.

MCQ: In machine learning, what is the term for the process of reducing noise or variability in data?

Correct Answer: A. Feature engineering

Explanation:

Preprocessing is the process of reducing noise or variability in data, which often includes steps like data cleaning and normalization.

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