Predictive analytics and parallel processing with R

Speaker: Stephanie Locke

Title: R & SQL Server for real-time predictions

Embedding your R (and soon Python!) models in SQL Server enables you to add predictive capabilities to your applications and analytics in place of buying expensive components or making substantial changes to your systems. In this demo-packed talk, you'll see how you can go from a model built in R to making predictions on the fly in SQL Server 2016.

Stephanie is an MVP and runs her own consultancy, Locke Data. Stephanie helps people get started with data science and actively helps build technical communities.

Speaker: Alessandro Recino

Title: Distributed and Parallel R

This session will cover different ways of distributing and parallelising R execution using Microsoft R server with either HDInsight Spark or Azure Batch.

Alessandro is currently a Data Solution Architect for Microsoft.

Timings:

18:00 onwards - Registration

18:30 - Presentations commence

20:00 - Presentations conclude

20:05 - Pizza, beer and networking

20:45 - Event closes

Please bring identification to gain access.

#DataSciTechMeetup

Thank you to our sponsors @WintonCapital