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Impact of Plentiful Data on Feature Selection
Question: How has the availability of plentiful data in modern deep learning changed the way practitioners approach feature selection?
Sample answer: With plentiful data, modern deep learning practitioners have largely shifted away from manual feature selection. Instead, they are more likely to provide all available features to the algorithm and allow it to sort out which ones to use based on the data.
Key points:
- There has been a shift away from manual feature selection in modern deep learning when data is plentiful.
- Practitioners now typically give all features to the algorithm to let it determine which to use.
Rubric: The answer must explicitly mention the shift away from feature selection and explain that algorithms are now given all features to sort out automatically.
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Machine Learning
Deep Learning
Supervised Learning
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Impact of Plentiful Data on Feature Selection