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 and Keras, distributed computing and automation-related frameworks like sparklyr and mlflow, and data ingestion (pins)) 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 Affiliation GitHub
Turgut Abdullayev QSS Analytics https://github.com/henry090
J.J. Allaire RStudio https://github.com/jjallaire
François Chollet Google Brain https://github.com/fchollet
Matt Dancho Business Science https://github.com/mdancho84
Daniel Falbel RStudio https://github.com/dfalbel
Leon Eyrich Jessen Tech. U of Denmark https://github.com/leonjessen
Sigrid Keydana RStudio https://github.com/skeydan
Yitao Li RStudio https://github.com/yitao-li
Javier Luraschi RStudio https://github.com/javierluraschi
Pete Mohanty Stanford https://github.com/rdrr1990
Thomas Lin Pedersen RStudio 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 RStudio AI Blog, we’d love to hear from you! See the article on contributing posts for additional details.

The RStudio 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