Links to slides from rstudio::conf 2018
Links to slides for talks at the rstudio::conf 2018
Schedule: https://www.rstudio.com/conference/#conference
Official rstudio-conf repo and video resources
Pull requests welcome! Or add an issue, or tweet @simecek or email Petr Simecek.
Based on Karl Broman's template from the rstudio::conf 2017.
Saturday 2018-02-03
Live Stream: Day 2
Keynote
Machine Learning with R and TensorFlow, JJ Allaire, @fly_upside_down,
Packages
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Five packages in five weeks - from boredom to contribution via blogging, Giora Simchoni, @GioraSimchoni,
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You can make a package in 20 minutes, Jim Hester, @jimhester_,
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What makes a great R package?, Joseph Rickert, @rstudiojoe,
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Case-study-3
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How I Learned to Stop Worrying and Love the Firewall, Ian Lyttle, @ijlyttle,
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Achieving impact with advanced analytics: Breaking down the adoption barrier , Aaron Horowitz,
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Interop
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Large scale machine learning using TensorFlow, BigQuery and CloudML Engine within RStudio, Michael Quinn,
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Deploying TensorFlow models with tfdeploy, Javier Luraschi, @javierluraschi,
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Building Spark ML pipelines with sparklyr, Kevin Kuo, @kevinykuo,
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Reinforcement learning in Minecraft with CNTK-R, Ali Zaidi,
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Teaching
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Data-driven curriculum and product development, Ramnath Vaidyanathan,
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Kaggle in the classroom: using R and GitHub to run predictive modeling competitions, Colin Rundel,
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Something old, something new, something borrowed, something blue: Ways to teach data science (and learn it too!), Chester Ismay, @old_man_chester,
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Training an army of new data scientists, Marco Blume, @PinnacleSports,
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Case-study-4
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Differentiating by data science, Eric Colson,
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Imagine Boston 2030: Using R-Shiny to keep ourselves accountable and empower the public, Kayla Patel,
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Production-2
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Sharing analysis results with RStudio Connect, Jeff Allen,
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Parameterized R Markdown reports with RStudio Connect (Fruit for Thought), Aron Atkins, @aronatkins,
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The R Admin is rad: A guide to professional R tooling and integration, Nathan Stephens, @nwstephens,
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Friday 2018-02-02
Keynote
Tidy-1
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The future of time series and financial analysis in the tidyverse, Davis Vaughan, @dvaughan32,
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infer: a package for tidy statistical inference, Andrew Bray,
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Tidying up your network analysis with tidygraph and ggraph, Thomas Lin Pedersen, @thomasp85,
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Shiny
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Scaling Shiny apps with async programming, Joe Cheng, @jcheng,
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Developing robust shiny apps with regression testing, Winston Chang, @winston_chang,
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Make shiny fast by doing as little work as possible, Alan Dipert, @alandipert,
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IDE/rmarkdown
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RStudio Server Pro 1.1 new features, Jonathan McPherson,
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Learning R with rstudio.cloud, Mel Gregory,
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Tidy-2
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The lesser known stars of the tidyverse, Emily Robinson, @robinson_es,
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Augmenting data exploration with interactive graphics, Carson Sievert, @cpsievert,
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tidycf: Turning analysis on its head by turning cashflows on their sides, Emily Riederer, @EmilyRiederer,
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Case-study-1
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The unreasonable effectiveness of empathy, JD Long, @CMastication,
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Data driven decisions, Logan Meltabarger,
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Phrasing: communicating data science through tweets, gifs, and classic misdirection, Mara Averick, @dataandme,
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Rmarkdown
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R Markdown: Eight ways, Mine Cetinkaya-Rundel, @minebocek,
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Adaptive feedback for learnr tutorials, Daniel Kaplan,
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Beyond R: Using R Markdown with python, sql, bash, and more, Aaron Berg,
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Branding and automating your work with R Markdown, Daniel Hadley, @danielphadley,
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Programming
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Tidy eval: programming with dplyr, tidyr, and ggplot2, Hadley Wickham, expressions, quasiquotation, evaluation,
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An assignment operator to unpack vectors and lists, Nathan Teetor, @ntweetor,
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Debugging techniques in RStudio, Amanda Gadrow, @ajmcoqui,
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Case-study-2
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Rapid prototyping data products using Shiny, Tanya Cashorali, @tanyacash21,
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Understanding PCA using Shiny and Stack Overflow data, Julia Silge, @juliasilge,
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Accelerating cancer research with R, Sandra Griffith,
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Developing and deploying large scale shiny applications, Herman Sontrop,
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Production-1
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R for Presidents, Tareef Kawaf,
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Connecting to open source databases, Kirill Müller, @krlmlr,
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Best practices for working with databases, Edgar Ruiz, @theotheredgar,
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