Name: Operationalizing R with Azure Machine Learning/ EBH Update
Start: 2015-09-23T19:00:00-06:00
End: 2015-09-23T22:00:00-06:00
Location: Galvanize

Using your R skills you've built a killer predictive model that has the power to transform your organization and take it to the next level. Now how do you operationalize that model so it can be integrated with and leveraged by line of business applications? Meet Microsoft's Azure Machine Learning service. Azure ML gives R developers and data scientists the ability to perform one click publishing of their R models and make them available for consumption as simple REST web services for developers across your organization. You can model, tune, test, deploy and score unseen data, on-demand without any acquisition or setup of infrastructure and you only pay for what you use. We'll present how you can get started using your R skills with this new machine learning service.

Bio

Chris McHenry is a software developer living in the foothills of Colorado. He is currently the VP of Technology for Integro, an industry leading software and services provider of Information Governance solutions. His main focus is on the development of an innovative Information Governance software platform. He leads a high caliber team of Dev and QA professionals using Scrum, Visual Studio, and TFS. His current passion (obsession?) is applying Machine Learning technology to improve the user experience with everyday software applications. He has a patented design leveraging classification technology with user oversight to better manage and defensibly dispose of content. His favorite new technologies are the R programming language and Microsoft's Azure Machine Learning service. He has deep expertise designing and developing software products on top of email platforms and enterprise content management systems such as Microsoft Exchange, Lotus Domino, Sharepoint, OneDrive, IBM FileNet, and others.

Every Byte Helps (aka. Data for Good) - 10 minute update

Last October Ryan Elmore and Matt Pocernich discussed the idea of starting a Data for Good/ DataKind type group here in Denver - focusing on statistics. They will take a few minutes to summarize the progress ( and in some areas lack of progress) in getting the group started. Additionally, we would like to introduce the next project to be tackled by the group - the creation and analysis of a survey of food waste in Denver - conducted in support of Denver Food Rescue.

Matt Pocernich

Denver R User Group

Technology

R Project for Statistical Computing

Applied Statistics

Data Analytics

Data Mining

Statistical Science

Data Visualization

Statistical Consulting

Web Analytics

Statistical Education

Open Source

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