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The Curious Statistician

Sep 30, 2011

Popular Mistakes in Data Mining

John Elder's presentations on common data mining mistakes are a must-see if you have any experience or plans in the data mining arena.
John Elder's presentations on common data mining mistakes are a must-see if you have any experience or plans in the data mining arena.  One example I recall in particular - a neural net that performed brilliantly in distinguishing the presence or absence of tanks in photographs.  The only problem?  The tank photos were taken on sunny days, the non-tank photos on "puffy-cloud" days.  The algorithm was focusing on the clouds.  John has an online course with many such examples, and much more to share, based on years of experience with industry, at statistics.com - Oct. 28 - Nov. 14.  See http://www.statistics.com/dmmistakes .

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