Microsoft's new Data Science Virtual Machine
Revolutions Milestones in AI, Machine Learning, Data Science, and visualization with R and Python since 2008 Earlier this week, Andrie showed you how to set up and provision your own virtual machine (VM) to run R and RStudio in Azure. Another option is to use the new Microsoft Data Science Virtual Machine, a pre-configured instance that includes a suite of tools useful to data scientists, includin
Some R Resources for GLMs
Revolutions Milestones in AI, Machine Learning, Data Science, and visualization with R and Python since 2008 by Joseph Rickert Generalized Linear Models have become part of the fabric of modern statistics, and logistic regression, at least, is a “go to” tool for data scientists building classification applications. The ready availability of good GLM software and the interpretability of the results
Big Data Generalized Linear Models with Revolution R Enterprise
Revolutions Milestones in AI, Machine Learning, Data Science, and visualization with R and Python since 2008 R''s glm function for generalized linear modeling is very powerful and flexible: it supports all of the standard model types (binomial/logistic, Gamma, Poisson, etc.) and in fact you can fit any distribution in the exponential family (with the family argument). But if you want to use it on
Optimization for Finance with R
Revolutions Milestones in AI, Machine Learning, Data Science, and visualization with R and Python since 2008 Last year, the Statistics and Mathematics Department of the Vienna University School of Economics and Business presented a research seminar series on optimization, taught by R Core Group member Kurt Hornik (with Ronald Hochreiter and Stefan Theussl). Even if you couldn't make it to Austria
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Setting up an Azure Resource Manager virtual machine with RStudio
The R packages in a data scientist's toolbox
