rstudio::conf 2018

Talks from our 2018 conference in San Diego, CA

  • Machine Learning with R and TensorFlow59:42

    Machine Learning with R and TensorFlow

    In this talk we’ll explore the use of TensorFlow from R, describing the complete workflow including data ingestion, training, and deploying models into production.

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  • To the Tidyverse and Beyond – Dianne Cook1:18:18

    To the Tidyverse and Beyond – Dianne Cook

    What are the future challenges for Data Science?

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  • R for Presidents – Tareef Kawaf20:21

    R for Presidents – Tareef Kawaf

    How does an executive use R to run their business?

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  • Scaling Shiny apps with async programming – Joe Cheng19:50

    Scaling Shiny apps with async programming – Joe Cheng

    Asynchronous programming offers a way to offload certain classes of long-running operations from the main R thread, such that Shiny apps can remain responsive.

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  • Fireside Chat: R In Industry Discussion40:08

    Fireside Chat: R In Industry Discussion

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  • Fireside Chat: Tidyverse Discussion41:47

    Fireside Chat: Tidyverse Discussion

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  • Differentiating by data science – Eric Colson18:07

    Differentiating by data science – Eric Colson

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  • Storytelling with R – Olga Pierce20:30

    Storytelling with R – Olga Pierce

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  • Imagine Boston 2030: Using R-Shiny to keep ourselves accountable and empower the public – Kayla Patel18:46

    Imagine Boston 2030: Using R-Shiny to keep ourselves accountable and empower the public – Kayla Patel

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  • Agile data science – Elaine McVey20:33

    Agile data science – Elaine McVey

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  • Teach the Tidyverse to beginners - David Robinson20:36

    Teach the Tidyverse to beginners - David Robinson

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  • How I Learned to Stop Worrying and Love the Firewall – Ian Lyttle20:26

    How I Learned to Stop Worrying and Love the Firewall – Ian Lyttle

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  • Achieving impact with advanced analytics: Breaking down the adoption barrier – Aaron Horowitz19:10

    Achieving impact with advanced analytics: Breaking down the adoption barrier – Aaron Horowitz

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  • A SAS-to-R success story – Elizabeth J. Atkinson18:27

    A SAS-to-R success story – Elizabeth J. Atkinson

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  • The R Admin is rad: A guide to professional R tooling and integration24:52

    The R Admin is rad: A guide to professional R tooling and integration

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  • Sharing analysis results with RStudio Connect – Jeff Allen22:11

    Sharing analysis results with RStudio Connect – Jeff Allen

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  • Parameterized R Markdown reports with RStudio Connect – Aron Atkins14:38

    Parameterized R Markdown reports with RStudio Connect – Aron Atkins

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  • Drill-down reporting with Shiny – Bárbara Borges Ribeiro16:52

    Drill-down reporting with Shiny – Bárbara Borges Ribeiro

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  • Reinforcement learning in Minecraft with CNTK-R – Ali-Kazim Zaidi21:38

    Reinforcement learning in Minecraft with CNTK-R – Ali-Kazim Zaidi

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  • Large scale machine learning using TensorFlow, BigQuery and CloudML Engine within RStudio – Michael Quinn18:33

    Large scale machine learning using TensorFlow, BigQuery and CloudML Engine within RStudio – Michael Quinn

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