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Free course on analyzing big data with Microsoft R Server

November 29, 2016 By editor

Microsoft R Server is one of the leading options if you need to analyse big data using R.

To get you started EdX have a new (and free) course—Analyzing Big Data with Microsoft R Server. It covers using the RevoScaleR package to build models and deploying them to Spark and SQL Server.

Filed Under: Big data Tagged With: free course, Microsoft R Server, RevoScaleR

ScaleR package now available as part of free Microsoft R Client

July 12, 2016 By editor

The ScaleR package provides functions for performing scalable and extremely high performance data management, analysis, and visualization in R. It was only available to those who had a Microsoft R Server license—until now.

With the introduction of the free Microsoft R Client for Windows tool you can now work with the full set of ScaleR functions without having to part with a cent.

Of course, there’s a catch—there are constraints. Specifically

[…] the data to be processed must fit in local memory, and processing is limited up to two threads for ScaleR functions.

However, this allows you to prototype your analyses using the free client and push them to SQL Server or Hadoop using Microsoft R Server when you need to scale.

Filed Under: Big data, Data analysis, Machine learning Tagged With: Microsoft R Client for Windows, Microsoft R Server, R, RevoScaleR

Microsoft R Server documentation is now online

May 17, 2016 By editor

The complete Microsoft R Server documentation is now available on MSDN—and is publicly accessible.

It includes comprehensive details of the RevoScaleR High Performance Analytics package. RevoScaleR includes the following analysis functions

  • rxSummary (basic summary statistics)
  • rxLinMod (linear modeling)
  • rxLogit (logistic regression modeling)
  • rxGlm (generalized linear modeling)
  • rxCovCor (covariance/correlation, with convenience functions, rxCov, rxCor, and rxSSCP)
  • rxCube and rxCrossTabs
  • rxKmeans (k-means clustering)
  • rxDTree (classification/regression decision tree modeling)
  • rxDForest (classification/regression decision forest modeling)
  • rxBTrees (classification/regression boosted decision tree modeling)
  • rxNaiveBayes (Naive Bayes classification)

Filed Under: Big data, Data science Tagged With: documentation, Microsoft R Server, RevoScaleR

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