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Introduction to Microsoft R Open

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Presented by David Smith, R Community Lead, Jan 28 2015

Data Science is a strategic initiative for most companies today, who seek to understand the wealth of data now available to them to understand patterns, make forcecasts, and build data-driven products and process. The open-source R language is the lingua franca of data science, and ranked #6 in popularity amongst all languages by the IEEE. If you haven’t yet learned what R is all about, this webinar will bring you up to speed on the history of the R language, how it’s used, and why it’s so popular for developing advanced analytics applications.
In this 50-minute webinar, David Smith, R Community Lead at Microsoft, will introduce the R language and community, and give examples of R in action. In the webinar, David will demonstrate Microsoft R Open, Microsoft’s enhanced distribution of open-source R. He will also cover the enhancements included in Microsoft R Open, including enhanced performance, features for reproducible programming in R, and the new CRAN Time Machine for reproducible data analysis with R packages.

Published in: Data & Analytics
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Introduction to Microsoft R Open

  1. 1. January 28, 2015 — Welcome! What is R? Applications of R Microsoft R Open Demo Q&A David Smith R Community Lead Microsoft @revodavid Editor, Revolutions blog blog.revolutionanalytics.com Co-author (with Bill Venables and R Core Team), An Introduction to R cran.r-project.org/manuals.html
  2. 2. Which statement best matches your relationship to R? - I’m completely new to R, but want to learn - I’m learning R - I’m an experienced R user - I won’t be using R (but I’m interested in what it can do)
  3. 3. CRAN Task View by Barry Rowlingson: http://www.maths.lancs.ac.uk/~rowlings/R/TaskViews/
  4. 4. Photo credit: Robert Gentleman
  5. 5. R Usage Growth Rexer Data Miner Survey, 2007-2015 Language Popularity IEEE Spectrum Top Programming Languages, 2015 76% of analytic professionals report using R 36% select R as their primary tool
  6. 6. msdsug.microsoft.com
  7. 7. New York Times, June 25 2009 (3 hours after Michael Jackson’s death)
  8. 8. • Credit Risk Analysis • Financial Networks
  9. 9. Facebook • Exploratory Data Analysis • Experimental Analysis “Generally, we use R to move fast when we get a new data set. With R, we don’t need to develop custom tools or write a bunch of code. Instead, we can just go about cleaning and exploring the data.” — Solomon Messing, data scientist at Facebook
  10. 10. Housing • Crime mapping “The core innovation that Zillow offers are its advanced statistical predictive products, including the Zestimate®, the Rent Zestimate and the ZHVI® family of real estate indexes. By using R in production as well as research, Zillow maximizes flexibility and minimizes the latency in rolling out updates and new products.” • Statistical forecasting
  11. 11. The Azure Cloud Operational Announced Central US Iowa West US California North Europe Ireland East US Virginia East US 2 Virginia US Gov Virginia North Central US Illinois US Gov Iowa South Central US Texas Brazil South Sao Paulo West Europe Netherlands China North * Beijing China South * Shanghai Japan East Saitama Japan West OsakaIndia West TBD India East TBD East Asia Hong Kong SE Asia Singapore Australia West Melbourne Australia East Sydney * Operated by 21Vianet
  12. 12. mran.microsoft.com
  13. 13. Benchmarks details at MRAN
  14. 14. www.nytimes.com/2011/07/08/health/research/08genes.html http://arxiv.org/pdf/1010.1092.pdf
  15. 15. Adapted from http://xkcd.com/234/ CC BY-NC 2.5
  16. 16. Any updated package = potential reproducibility error! http://blog.revolutionanalytics.com/2014/10/explore-r-package-connections-at-mran.html
  17. 17. (Any date after Sep 17, 2015)
  18. 18. If you’re an R user, have you tried Microsoft R Open (or Revolution R Open)? - I’ve never tried Microsoft R Open - I’ve tried Microsoft R Open - I primarily use Microsoft R Open - I don’t use R
  19. 19. www.datacamp.com/courses/free-introduction-to-r
  20. 20. Microsoft R Server Big-data analytics and distributed computing on Linux, Hadoop and Teradata SQL Server 2016 Big-data analytics integrated with SQL Server database (coming soon) PowerBI Computations and charts from R scripts in dashboards Azure ML Studio R Scripts in cloud-based Experiment workflows Visual Studio R Tools for Visual Studio: integrated development environment for R (coming soon) HDInsights R integrated with cloud-based Hadoop clusters Cortana Analytics Cloud-based R APIs and Virtual Machines
  21. 21. Thursday, February 4 Using Microsoft R Server to Address Scalability Issues in R Thursday, February 11 Data Mining with Microsoft R Server Thursday, February 18 Best Practices for using Microsoft R Server with Hadoop Thursday, February 25 Using Microsoft R Server to Operationalize your Analytics info.microsoft.com/Microsoft-R-Webinars.html
  22. 22. mran.microsoft.com
  23. 23. Trends

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