Dmg. Two complementary standards that simplify the deployment of analytic models.
Dmg. Two complementary standards that simplify the deployment of analytic models.
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It’s weekend again, and you know what that means .. time for a new roundup with the best design-related articles and tutorials of last week’s blogosphere, hand-picked for you. It’s all about webdesign, graphic design, SEO, tutorials...
Originally posted on: http://geekswithblogs.net/JoshReuben/archive/2014/10/09/pmml--predictive-model-markup-language.aspx PMML Overview An XML standard managed by the Data Mining Group (www.dmg.org ) whose members include IBM, Microsoft, Oracle, SAS...
Joint work by Andreas Fleig (Senior Software Engineer) and Dat Tran (Senior Data Scientist). Apache Spark is the first choice tool for dealing with large data sets for many people. It is very popular among data scientists, in particular, due to its...
A Distributed Associative Memory Base for Natural Intelligence Dr. Manuel Aparicio IV, Co-founder, Saffron Technology Synopsis Saffron is the most universal, unified, and commercially-mature approach to brain-like thinking. Our platform closely mimics...
We're always fascinated to learn about what Kagglers are up to when they're not methodically perfecting their cross-validation procedures or hitting refresh on the competitions page. Today I'm sharing with you Kaggle Master Luca Massaron's impressive...
SOCRATES is an international, refereed (peer-reviewed) and indexed scholarly hybrid open-access journal in Public Administration a...
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The DMG is proud to host the working groups that develop the Predictive Model Markup Language (PMML) and the Portable Format for Analytics (PFA), two complementary standards that simplify the deploy...
PMML 4.1 - Scorecard PMML 4.1 - Scorecard A data mining model contains a set of input fields which are used to predict a certain target value. This prediction can be seen as an assessment about a ...
Data Mining Group - Transformations & Derived Values
The Laboratory for Advanced Computing develops technologies for high performance computing, high performance networking, internet computing, data mining and related areas.
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