Data augmentation - Wikipedia
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2026-07-22 09:41:20
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Text Highlight2026-07-22 16:05:20
Original Highlight Excerpt
"Geometric transformations alter the spatial properties of images to simulate different perspectives"
Whisper Note
Makes sense, but doesn't this just mean rotating and flipping pictures?
Text Highlight2026-07-22 13:02:20
Original Highlight Excerpt
"Synthetic Minority Over-sampling Technique (SMOTE) is a method used to address imbalanced datasets"
Whisper Note
Doesn't this just make the model overfit to fake data though? Seems risky.
Text Highlight2026-07-22 12:53:20
Original Highlight Excerpt
"Synthetic Minority Over-sampling Technique (SMOTE) is a method used to address imbalanced datasets"
Whisper Note
SMOTE saved my butt on a fraud detection project, the minority class was basically invisible.
Text Highlight2026-07-22 09:59:20
Original Highlight Excerpt
"Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data."
Whisper Note
I've used this in Bayesian stuff, it does help with missing values, neat.
Text Highlight2026-07-22 09:50:20
Original Highlight Excerpt
"Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data."
Whisper Note
Wait, isn't this just about making fake data? Seems more like a trick than stats.
Text Highlight2026-07-22 09:41:20
Original Highlight Excerpt
"Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data."
Whisper Note
So that's why we add noise to images — it's basically filling gaps for the model.
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