Rattle, an open source GUI For Data Science and Machine Learning using R, has been updated to Version 5.1 on CRAN and is available for download now. As always, the latest updates to Rattle are available from bitbucket. A small but important update means that Rattle now works with the latest version of RGtk2 on […]
Preparation For our Machine Learning in R tutorial each participant is requested to install or obtain access to the free (as in libre) and open source software R and Rattle. Please complete this prior to the session itself or else let me know of any issues you have installing. An Azure (cloud) Data Science Virtual […]
My new book is now available from Amazon. From the cover: The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. […]
Data scientists rely on the freedom to innovate that is afforded by open source software. We often deploy an open source software stack based on Ubuntu GNU/Linux and the R Statistical Software. This provides a powerful environment for the management, wrangling, analysis, modeling, and presentation of data within a tool that supports machine learning and […]
The fully open source software stack of the Ubuntu Data Science Virtual Machine (DSVM) hosted on Azure is a great place to support an R workshop or laboratory session or R training. I record here the simple steps to set up a Linux Data Science Virtual Machine (in the main so I can remember how […]