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Apache: Big Data Europe 2016
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Wednesday, November 16 • 13:00 - 13:50
On the Representation and Reuse of Machine Learning Models - Villu Ruusmann, Openscoring Ltd.

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Big Data applications rely on machine learning to derive new value. Model training and deployment are handled by different people in different environments, which makes model transferability a major concern.



This talk inquires into popular R, Scikit-Learn and Apache Spark model types, and connects them at a standardized PMML representation level. PMML adds value to all stages of the workflow, starting from model interpretation, reorganization and persistence, and ending with fully-automated model deployment to schema-full Big Data frameworks.



Attendees will learn that models are not locked-in "black boxes", but easily accessible and programmable components in the application layer. This realization should translate to improved workflows, and smarter and more performant applications.

Speakers
VR

Villu Ruusmann

CTO, Openscoring OÜ
Villu Ruusmann is the founder and CTO of Openscoring Ltd, a company provides an open source implementation of the Predictive Model Markup Language (PMML) standard. Villu has extensive knowledge about popular machine learning model training and deployment platforms, which he has turned into a mass of PMML-based integration solutions. | | | | Villu has limited public speaking experience from his academic pursuits. The latest talk was held at... Read More →


Wednesday November 16, 2016 13:00 - 13:50
Santa Cruz

Attendees (15)