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.
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.
Augustina Ragwitz is a social scientist, software hacker, and open source advocate with 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). Augustina spends her time analyzing open source communities and discovering AI use in unexpected places.
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