タグ: microsoftr

Revolutions > Three reasons to learn R today
http://bit.ly/2i1kHvy

Revolutions > Analyzing emotions in video with R
http://bit.ly/2hWeanF

Revolutions > The Flexibility of Remote and Local R Workspaces
http://bit.ly/2hRGqI3

Revolutions > The biggest R stories from 2016
http://bit.ly/2j1MTw5

Revolutions > Because it’s Friday: Goodbye, 2016
http://bit.ly/2iNGS6k

Revolutions > Power BI custom visuals, based on R
http://bit.ly/2hCFqHQ

Revolutions > Using R to prevent food poisoning in Chicago
http://bit.ly/2iJDdWY

Revolutions > Combine choropleth data with raster maps using R
http://bit.ly/2iFpYdZ

Revolutions > Parallelizing Data Analytics on Azure with the R Interface Tool
http://bit.ly/2inKn3S

Revolutions > The Basics of Bayesian Statistics
http://bit.ly/2iw60Cb

Revolutions > Take a Test Drive of the Linux Data Science Virtual Machine
http://bit.ly/2hvSxWQ

Revolutions > Introducing the AzureSMR package: Manage Azure services from your R session
http://bit.ly/2hahjOD

Revolutions > Interactive decision trees with Microsoft R
http://bit.ly/2i6mNM3

Revolutions > Mixed Integer Programming in R with the ompr package
http://bit.ly/2hMsMTa

Revolutions > Because it’s Friday: I’m forever freezing bubbles
http://bit.ly/2hGGLcJ

Revolutions > Predicting flu deaths with R
http://bit.ly/2gJoMke

Revolutions > How the State of Indiana uses R and Azure to forecast employment
http://bit.ly/2gOGVC8

Revolutions > Visualizing taxi trips between NYC neighborhoods with Spark and Microsoft R Server
http://bit.ly/2gJmEy1

Revolutions > One Page R: A Survival Guide to Data Science with R
http://bit.ly/2gFjMC9

Revolutions > How housing prices have increased around the world
http://bit.ly/2gyUFRf

Revolutions > Because it’s Friday: Angst in four panels
http://bit.ly/2hcRnQC

Revolutions > The Value of R’s Open Source Ecosystem
http://bit.ly/2gljjF6

Revolutions > R Consortium Projects Update
http://bit.ly/2gpG2hy

Revolutions > Microsoft R Open 3.3.2 now available
http://bit.ly/2gGlSAO

Revolutions > Free online course: Analyzing big data with Microsoft R Server
http://bit.ly/2ggVMnq

Revolutions > A heat map of Divvy bike riders in Chicago
http://bit.ly/2fJbs1Z

Revolutions > Happy Thanksgiving!
http://bit.ly/2fsCHe2

Revolutions > Tutorial: Build a live rental prediction service with SQL Server R Services
http://bit.ly/2gBsjWm

Revolutions > Calculating AUC: the area under a ROC Curve
http://bit.ly/2gdZT45

Revolutions > Because it’s Friday: Non-transitive dice
http://bit.ly/2fprtYA

Revolutions > The 5 most popular R packages
http://bit.ly/2fbMyIg

Revolutions > Notable New and Updated R packages (to October 2016)
http://bit.ly/2g282GD

Revolutions > How to call Cognitive Services APIs with R
http://bit.ly/2fG48lL

Revolutions > In case you missed it: October 2016 roundup
http://bit.ly/2fd2mbo

Revolutions > SAS to R Migration for Financial Data: Lessons and Examples
http://bit.ly/2fr82Bi

Revolutions > Because it’s Friday: Current Status
http://bit.ly/2ep3MTC

Revolutions > A computer vision challenge: finding boats in the Mona Lisa
http://bit.ly/2fX7Ziq

Revolutions > AirBbB grows by sharing data scientist knowledge
http://bit.ly/2fohG5u

Revolutions > How did the election forecasts get it so wrong?
http://bit.ly/2fCtoMs

Revolutions > Data Manipulation with sparklyr on Azure HDInsight
http://bit.ly/2eivOjD

Revolutions > RStudio v1.0 released
http://bit.ly/2fLxqUf

Revolutions > Because it’s Friday: We went all the way!
http://bit.ly/2f9RdIC

Revolutions > Update to dplyrXdf: subsetting, column extraction operators
http://bit.ly/2fCGcUG

Revolutions > A look back at the Cubs and Indians performance
http://bit.ly/2eZeX4F

Revolutions > A Bayesian election prediction, implemented with R and Stan
http://bit.ly/2eedFhW

Revolutions > glmnetUtils: quality of life enhancements for elastic net regression with glmnet
http://bit.ly/2ew7HKk

Revolutions > R 3.3.2 now available
http://bit.ly/2dVTcmM

Revolutions > Because it’s Friday: Why Dictators, Presidents and CEOs behave the way they do
http://bit.ly/2dUnRwd

Revolutions > Free e-book: Data Science with SQL Server 2016
http://bit.ly/2fniB9j

Revolutions > ReporteRs: Manager-friendly Word or Powerpoint documents created with R
http://bit.ly/2e0X5W9