data-mining.alltop.com

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: 06/01/2013 - 07/01/2013

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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Tuesday, June 18, 2013. Big Data is Not Enough. But what's the key to unlock the big data door? Why is the data so big? Where does it come from? We who do PA usually think of doing predictive modeling on structured data pulled from a database, probably flattened into a single modeling table by a query so that the dat...

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: 02/01/2013 - 03/01/2013

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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, February 14, 2013. What To Take Home from Your Next Predictive Analytics Conference. Why should one go to a predictive analytics conference? What should one take home from a conference like Predictive Analytics World. But once we observe the successful approach, what can we really take home with us? Second,...

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: 09/01/2012 - 10/01/2012

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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, September 13, 2012. Budgeting Time on a Modeling Project. Within the time allotted for any empirical modeling project, the analyst must decide how to allocate time for various aspects of the process. As is the case with any finite resource, more time spent on this. Means less time spent on that. Consider ho...

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: 04/01/2013 - 05/01/2013

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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Friday, April 26, 2013. Math and Predictive Analytics - A Personal Account. Last week I taught a workshop at Predictive Analytics World entitled Supercharging Prediction: Hands-On with Ensemble Models. Salford Systems sponsored the workshop). Yes, we can! In the post, Heather also outlines some of the principles she ...

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: Data Mining's Forgotten Step-Children

http://abbottanalytics.blogspot.com/2015/07/data-minings-forgotten-step-children.html

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Friday, July 17, 2015. Data Mining's Forgotten Step-Children. Depending on whose definition one reads, the list of activities which comprise data mining will vary, but the first two items are always the same. The most common data mining function, by far, is prediction. Or, more esoterically, supervised learning.

mktdigitalblog.blogspot.com

Abril 2011 | Camila Panassolo

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Notícias, artigos, opinião, clipping, dicas sobre o marketing digital. 7 maneiras de construir sua marca pessoal usando as mídias sociais. Talvez um dia o currículo tradicional como nós conhecemos hoje será substituído pelo linkedin. Ou google. Sua presença online pode aumentar ou diminuir suas chances de conseguir um bom emprego. Não importa se você goste ou não – é o mundo em que vivemos hoje. Por isso, você deve esculpir sua marca pessoal. Para conseguir melhores chances de sucesso profissional. Faz i...

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: 01/01/2013 - 02/01/2013

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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Wednesday, January 16, 2013. Three Ways to Get Your Predictive Models Deployed. For me, the gold standard is deployment. If the model gets used and improves the decisions an organization makes, I've succeeded. Three ways to increase the likelihood your models are deployed are:. What data miners need to learn. The mod...

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: Why Overfitting is More Dangerous than Just Poor Accuracy, Part I

http://abbottanalytics.blogspot.com/2014/05/why-overfitting-is-more-dangerous-than.html

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, May 01, 2014. Why Overfitting is More Dangerous than Just Poor Accuracy, Part I. One way modelers reduce the likelihood of overfit is to apply the principle of Occam’s Razor, where if two models exhibit the same accuracy, we will prefer the simpler model because it is more likely to generalize well&#4...

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: 01/01/2014 - 02/01/2014

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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, January 16, 2014. Data Science and Big Data Search Trends. These are from google trends. This page for now is just an FYI that I may refer to in today's DM Radio show, "Blinded by Data Science" ( http:/ bit.ly/KfK74l. I hope to turn it into a more cogent blog post soon (but no promises! 8220;big data”.

abbottanalytics.blogspot.com

Data Mining and Predictive Analytics: 05/01/2014 - 06/01/2014

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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Monday, May 26, 2014. Why Overfitting is More Dangerous than Just Poor Accuracy, Part II. In Part I,. How sure are we that the measured 10% rate in our sample is reproducible for the next 10 values of L4G? TARGET B = 1 Percent. Confidence Interval Lower Bound. Confidence Interval Upper Bound. For the 1998 KDD Cup dat...