This article explains how to programmatically identify and deal with outlier data (it's a follow-up to "Data Prep for Machine Learning: Missing Data"). Suppose you have a data file of loan ...
At the impeccably timed “Who Will Win the Spam Wars” roundtable at the BigThink conference this morning, Google’s Matt Cutts, Bing’s Harry Shum and Blekko’s Rich Skrenta got together to discuss recent ...
Examples of outlier data include a person's age of 99 (either a very old applicant or possibly a placeholder value that was never changed) and a person's country of "Cannada" (probably a transcription ...
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