Tools to make an R developer's life easier. Contribute to devtools development by creating an account on GitHub.
R for Journalists
Tools for using and learning R, mostly for computational and data journalists, but everyone's welcome!
Curated by M. Edward (Ed) Borasky
My new release of partools is now on CRAN. The package is aimed at doing parallel data science in what I call an "un-MapReduce" manner. It takes the point of view that MapReduce-based frameworks such as Hadoop and Spark are fine for the types of applications their designers had in mind, namely rather simple SQL…
I am glad to announce that I shall be presenting a live webinar with Domino Data Labs on July 20, 2016 from 11:00 - 11:30 AM PST on Model-Based Machine Learning and Probabilistic Programming using RStan. If you are interested in adopting machine learning but are overwhelmed by the vast amount of learning algorithms, this webinar will show…
This post was first published on my Linkedin page and posted here as a contributed post. In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the… Read more