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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 359 discussion

A machine learning (ML) engineer is preparing a dataset for a classification model. The ML engineer notices that some continuous numeric features have a significantly greater value than most other features. A business expert explains that the features are independently informative and that the dataset is representative of the target distribution.

After training, the model's inferences accuracy is lower than expected.

Which preprocessing technique will result in the GREATEST increase of the model's inference accuracy?

  • A. Normalize the problematic features.
  • B. Bootstrap the problematic features.
  • C. Remove the problematic features.
  • D. Extrapolate synthetic features.
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Suggested Answer: A 🗳️

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MultiCloudIronMan
2 weeks, 1 day ago
Selected Answer: A
This approach leverages the strengths of DeepAR to provide accurate and efficient sales predictions for the company's diverse product range.
upvoted 1 times
MultiCloudIronMan
2 weeks, 1 day ago
Wrong narrative - its for question 360
upvoted 1 times
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MultiCloudIronMan
2 weeks, 1 day ago
Selected Answer: A
Definitely A
upvoted 1 times
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