About this blog

Welcome to our blog! Here you’ll find the latest news, insights, and examples of using AI-related technologies (deep learning frameworks such as TensorFlow, Keras, and torch, as well as distributed-computing and automation-related frameworks like sparklyr and mlflow) from R.

We also like to draw from a wide variety of contributors (so please consider submitting a post if so motivated!). Here is an alphabetic list of authors so far:

Author Affiliation1 GitHub
Turgut Abdullayev QSS Analytics https://github.com/henry090
J.J. Allaire Posit https://github.com/jjallaire
François Chollet Google Brain https://github.com/fchollet
Athos Petri Damiani Curso-R https://github.com/Athospd
Matt Dancho Business Science https://github.com/mdancho84
Daniel Falbel Posit https://github.com/dfalbel
Leon Eyrich Jessen Tech. U of Denmark https://github.com/leonjessen
Tomasz Kalinowski Posit https://github.com/t-kalinowski
Sigrid Keydana Posit https://github.com/skeydan
Yitao Li RStudio https://github.com/yitao-li
Javier Luraschi Hal9 https://github.com/javierluraschi
Pete Mohanty Stanford https://github.com/rdrr1990
Thomas Lin Pedersen Posit https://github.com/thomasp85
Nick Strayer Vanderbilt https://github.com/nstrayer/
Yuan Tang Ant Group https://github.com/terrytangyuan

If you are interested in publishing some of your own work or insights on the Posit AI Blog, we’d love to hear from you! See the article on contributing posts for additional details.

The Posit AI Blog was created using Distill for R Markdown.

Enjoy this blog? Get notified of new posts by email:

Posts also available at r-bloggers

  1. at publication time↩︎