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Which of the following is FALSE about PCA and Autoencoders? Group of answer choices PCA works well with non - linear data while Autoencoders are

Which of the following is FALSE about PCA and Autoencoders?
Group of answer choices
PCA works well with non-linear data while Autoencoders are best suited for linear data
Both PCA and Autoencoders are dimensionality reduction techniques
PCA finds the orthogonal dimensions while Autoencoder doesn't have to.
Autoencoder has the advantage of being able to handle large datasets with many features.

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