Talks 📝

• Session Recordings 📹 
  satRday

• Keynote 1, The bright past, present and future of R packages 📹 
  Gábor Csárdi

• Infrastructure for R peeps 📹 
  Steph Locke

• R and Python, PoweR Tools to make you a Data RockstaR 📹 
  Jen Stirrup

• Door to door fraud detection 📹 
  András Tajti

• R Integration into SQL Server 2016 📹 
  Tomaž Kaštrun

• New developments in the rdatatable package 📹 
  Arun Srinivasan

• Data validation with the "validate" package 📹 
  Mark van der Loo

• A dplyr use case 📹 
  Romain François

• nsoAPI, retrieving data from National Statistical Offices with R 📹 
  Bo Werth

• estudy2, an R package for the event study 📹 
  Iegor Rudnytskyi

• Keynote 2 📹 
  Jeroen Ooms

• H2O Machine Learning Use Cases & Recent Developments 📹 
  Joe Chow

• Machine learning for particle physics using R 📹 
  Andrew Lowe

• Time series analysis in R: using hidden Markov models for unsupervised learning 📹 
  Ágoston Török

• Approaches to live music synthesis for multivariate data analysis in R 📹 
  Thomas Levine

• Uncovering political connections of firms using machine learning methods
  Jenő Pál

• Use The Right Tool, R in Infrastructure and Business Analytics 📹 
  Ágnes Salánki

• How can I get everyone else in my organisation to love R as much as I do? 📹 
  Kate Ross-Smith

• Using R and Shiny at FRISS 📹 
  Herman Sontrop

• RUG Toolbox 📹 
  Áine Uí Ghiollagáin

• Got r? Catch 'em all! 📹 
  David Parr

• Visualization of geochemical modeling results by R 📹 
  Zsuzsanna Szabó

Packages and Resources 📝