What is the impact of noise in data analysis?
Noise in data can lead to inaccurate results, making it difficult to identify true patterns.
How can noise affect machine learning models?
Noise can cause models to overfit, reducing their ability to generalize to new data.
What techniques can be used to reduce noise in datasets?
Common techniques include data cleaning, filtering, and using robust statistical methods.
Can you give an example of noise in real-world data?
Sure! An example is sensor errors in environmental data, which can skew analysis results.
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