Monthly Archives: April 2016

Why doesn’t my decision tree recognize a simple pattern?

Data Mining algorithms are sometimes perceived to be extremly intelligent and established with many super powers, humans don’t have. In today’s post I’d like to show a simple example in which a mining model fails to detect a very simple … Continue reading

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Using R Server in SQL Server 2016 to calculate the expected value for CRM leads (Monte Carlo method)

SQL Server 2016 In this post I’m demonstrating a use case for the new R Server (formerly known as Revolution R Enterprise) in SQL Server 2016 to calculate the expected value for CRM leads using a Monte Carlo approach. To … Continue reading

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