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


I’ve spent over 20 years working in the software industry and contributing to open source projects. I started exploring vision accessibility to manage my own ADHD struggles with vision over-stimulation thanks to advances in computer screens and increasingly complex user interfaces. Through my role at IBM, I am working with the Oregon Commission for the Blind’s vocational rehabilitation team to advocate for people with blindness in the tech industry.