This session will focus on examples of how these models are built. What is required to build a model? How does data need to be processed? What do you have to consider to make your model effective? And finally what tools do I use to build these models?
In this session, we will address these questions through illustrative use cases using open-source technologies varying from medical, text and sensor data, from three different speakers:
- Approaches and Open Source Tools for Wrangling and Modeling Massive Datasets
- Scaling Java Applications for NLP on MPP through PL/Java
- A Scalable Framework For Realtime Monitoring & Prediction Of Sensor Readings
Recorded at SpringOne2GX 2015.
Track: Big Data
Speakers: Sarah Aerni, Srivatsan Ramanujam, Jarrod Vawdrey
Slides: http://www.slideshare.net/SpringCentral/data-driven-action-a-primer-on-data-science
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