What techniques are used for handling noisy or incomplete data?
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Answer / Kamala Kant
Techniques used for handling noisy or incomplete data in Generative AI include Data Imputation, where missing values are replaced with estimated ones; Data Augmentation, which increases the size of datasets by applying transformations such as rotation, scaling, and flipping; and Regularization techniques that prevent overfitting to noisy data.
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