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Concept
Noise Addition
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Summary
Noise Addition
is a technique used in various fields such as
Data Analysis
,
Machine Learning
, and
Signal Processing
to improve the robustness and
Generalization of models
by intentionally adding
Random variations
to the data. This process helps in preventing overfitting,
Enhancing privacy
, and
Simulating real-world conditions
where data is often imperfect.
Concepts
Data Augmentation
Overfitting Prevention
Differential Privacy
Signal-to-Noise Ratio
Random Noise
Model Generalization
Stochastic Processes
Error Analysis
Privacy-Preserving Data Mining
Robustness In Machine Learning
Random Data Generation
Data Perturbation
Relevant Degrees
Materials Testing and Economics of Energy 40%
Computational Mathematics 30%
Acoustics and Sound Waves 30%
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