R + TensorFlow: GPU-Accelerated Computing / data.table
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R + TensorFlow: GPU-Accelerated Computing in the Age of Deep Learning
by Matt Hergott
Today’s complex neural networks and large data sets make it difficult or impossible to solve problems with traditional computational methods. This talk will focus on how we can use R with TensorFlow and graphics processing units (GPUs) to achieve our goals in a dramatically accelerated fashion.
Topics covered include: What is GPU computing? Why do we use libraries like TensorFlow? What is the relationship between TensorFlow and Keras? What does an R + TensorFlow program look like?
Matt Hergott focuses on traditional econometric analysis, deep learning architectures, and complex quantitative visualizations through his firm MiaBella AI. His GPU programming experience includes the emerging field of 3D holograms, and a statistical visualization package he wrote made Microsoft’s top-16 list of “noteworthy HoloLens content.”
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data.table package
by David Heisler
This talk provides an overview of the data.table package including a brief history of data.table, basic and some advance syntax and a comparison with dplyr.
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Talks typically start at 7:30. 7 - 7:30 is time to chat, meet new people, relax.