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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