Question: Following the steps to run a PA's algorithm, why is so important to standardize your data? Use the best practices of data cleaning. Make the

Following the steps to run a PA's algorithm, why is so important to standardize your data?
Use the best practices of data cleaning.
Make the training time faster.
Standardizing data allows other people to understand your work better.
Remove the influence of variance by the data scale.

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