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.
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.
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