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

Gabriela de Queiroz
Developer Advocate, IBM

Website

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.

Sessions

4:00pm4:30pm Tuesday, July 17, 2018
TensorFlow
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. Read more.