Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR

R and TensorFlow

4:00pm4:30pm Tuesday, July 17, 2018
Location: B115-116
Tags: tensorflow
Average rating: ****.
(4.50, 2 ratings)

R has a rich history as an open source statistical computing project and is a mainstay of data science. Gabriela de Queiroz and Augustina Ragwitz explain how R has gotten together with TensorFlow to provide a great toolkit for deep learning.

Photo of Gabriela de Queiroz

Gabriela de Queiroz


Gabriela de Queiroz is a data and AI developer advocate at IBM CODAIT. She is the founder of R-Ladies (Global), a worldwide organization for promoting diversity in the R community with more than 100 chapters in 35+ countries, and runs the R-Ladies San Francisco chapter; she also serves on the ISC committee with the R Consortium. Gabriela has worked at several startups, where she built teams, developed statistical models, and employed a variety of techniques to derive insights and drive data-centric decisions.

Photo of Augustina Ragwitz

Augustina Ragwitz


Augustina Ragwitz is an open AI advocate for computational anthropology and anthropology of computation at IBM. An anthropologist, software hacker, and open source advocate, Augustina has a plethora of computer industry experience in a wide range of roles from highly technical (software engineer, DevOps) to highly human (customer support, technical writing). She spends her time analyzing open source communities and discovering AI use in unexpected places.