Name: Special Event- Scaling R Using Parallel External Memory Algorithms
Start: 2016-04-12T18:00:00-04:00
End: 2016-04-12T20:30:00-04:00
Location: WeWork

Special Event- Scaling R Using Parallel External Memory Algorithms

Data Education DC (formerly Data Driven DC) is a non-profit professional and educational group that meets bi-monthly to learn and discuss Data Science concepts and applications. Members learn to use Machine Learning, Data Science and Data Visualization tools that they can apply immediately following our meetups!Our members are business intelligence professionals, data scientists, programmers and students who are passionate about making an impact through data driven insights. Meetings are generally lectures on a range of Data Analysis and Data Visualization topics that include hands-on exercises and examples with real world applications - we welcome suggestions for topics that you are interested in learning about!

Data Education DC

Have you ever wanted to scale R but are limited due to memory? In this talk Joseph Rickert, blogger, data scientist and R community Ambassador introduces the latest R technology to scale your data analysis.
-- TALK OUTLINE --  
Microsoft R Server (formerly Revolution R Enterprise) has become the foundation for Microsoft’s use or the R language to tackle big-data machine learning and predictive analytics tasks. At the heart of MRS is the RevoScaleR package that implements a number of parallel external memory algorithms. These “PEMAs” are inherently parallel and designed for distributed computing on large data sets. Unlike standard open source R functions they do not require all of the data to be in memory at one time. I will provide an overview of MRS and show some examples of PEMAs working on data sets too large to be processed by open source R algorithms on my laptop.
 
-- SPEAKER --
Joseph Rickert is a Program Manager and R Community Ambassador for Microsoft. He came to Microsoft with the rest of Revolution Analytics team where he worked as a data scientist, blog editor and special programs manager.  He is currently Microsoft’s representative to the R Consortium’s Infrastructure Steering Committee and a member of the organizing committee for useR!2016. 
Previously, Joe held a variety of technical and marketing roles while working for technology startups that spanned multiple industries from local area networks to disk drives, test equipment and health care. Joe entered Franklin & Marshall college on a Classics scholarship and end up a Math major. He also earned an M.A. in Humanities and an M.S. in Statistics from the California State University. You can follow Joe on Twitter as @RevoJoe
-- TENTATIVE SCHEDULE --
6:00-6:30 - Networking   6:30-6:40 - Introductions   6:40 - 7:40 - Talk   7:40 - 8:10 - Socializing
-- NOTE --
This event has limited seating capacity. 
Members who attend will be admitted on a first come basis  and will be checked in between 6:00-6:30.
-- LOCATION --
WeWork- Dupont Circle WeWork is a community for creators. We transform buildings into beautiful, collaborative workspaces and provide infrastructure, services, events and technology so our members can focus on doing what they love." 
 
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Special Event- Scaling R Using Parallel External Memory Algorithms

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Special Event- Scaling R Using Parallel External Memory Algorithms

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