By: Richard Boire, Founding Partner, Boire Filler Group
As we all know, predictive analytics is a discipline, which is used to identify patterns, or trends that can explain future events or outcomes. Yet, these tools perform abysmally if rare events or situations have not been properly handled within the analytical file. These rare events can be handled in a variety of different ways.
William Komp, PhD., Senior Data Scientist, SmarterHQ
Python has seen significant growth in utilization in the areas of data science and predictive analytics in both the corporate and academic worlds. The KDNuggets2014 poll of dominant languages in Data Science (http://www.kdnuggets.com/2014/08/four-main-languages-analytics-data-mining-data-science.html) puts Python second to...
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By: Brandon Purcell, Data Science Team Lead, Beyond the Arc
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By: Andrew Brooks, Data Scientist & project lead, Elder Research Inc.
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By: Yan Krupnik, Business Development Manager, Retalon
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In San Francisco this past March and April, Predictive Analytics World was in full swing. Four predictive analytics events were held including Predictive Analytics World (PAW) for Business, PAW Workforce, Text Analytics World and the premier Predictive...
In anticipation of his upcoming conference presentation, Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket, at Predictive Analytics World Chicago, June 8-11, 2015, and keynote at Predictive Analytics World Boston, Sept 27-Oct...
In anticipation of his upcoming conference co-presentation, Building a Digital Marketing Data Science Discipline at Cisco: Experiments to Excellence, at Predictive Analytics World Chicago, June 8-11, 2015, we asked Viswanath Srikanth, Senior Program Manager, Analytics at Cisco,...
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