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← Back
Ryan M. Acton
WeddingWire, Inc.
Senior Data Scientist
Washington, DC USA
Tuesday
, July 4
9:30am CEST
Solving iteration problems with purrr
3.02
11:30am CEST
Introduction to Bayesian inference with JAGS
2.01
2:00pm CEST
OpenML: Connecting R to the Machine Learning Platform OpenML
4.02
4:00pm CEST
Introduction to Natural Language Processing with R
3.02
Wednesday
, July 5
11:00am CEST
How we built a Shiny App for 700 users?
4.02
11:18am CEST
When is an Outlier an Outlier? The O3 plot
PLENARY
11:36am CEST
Interacting with databases from Shiny
4.02
11:54am CEST
ShinyProxy
4.02
12:12pm CEST
Maps are data, so why plot data on a map?
PLENARY
1:30pm CEST
Text mining, the tidy way
4.02
1:48pm CEST
**RQGIS** - integrating *R* with QGIS for innovative geocomputing
3.01
Too good for your own good: Shiny prototypes out of control
2.02
2:06pm CEST
A Tidy Data Model for Natural Language Processing
4.02
2:24pm CEST
Implementing Predictive Analytics projects in corporate environments
2.02
Text Analysis and Text Mining Using R
4.02
3:45pm CEST
KEYNOTE: Teaching data science to new useRs
PLENARY
Thursday
, July 6
11:00am CEST
Show Me Your Model: tools for visualisation of statistical models
PLENARY
11:18am CEST
Clouds, Containers and R, towards a global hub for reproducible and collaborative data science
2.02
11:36am CEST
factorMerger: a set of tools to support results from post hoc testing
3.01
11:54am CEST
Show me the errors you didn't look for
2.02
12:12pm CEST
Automatically archiving reproducible studies with Docker
2.02
12:30pm CEST
LUNCH
CATERING POINTS
1:30pm CEST
R-based computing with big data on disk
2.01
1:48pm CEST
Deep Learning for Natural Language Processing in R
3.02
2:24pm CEST
Computer Vision and Image Recognition algorithms for R users
3.02
3:45pm CEST
KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It
PLENARY
Friday
, July 7
9:30am CEST
KEYNOTE: R tools for the analysis of complex heterogeneous data
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
Programming with tidyverse grammars
4.02
11:18am CEST
Easy imputation with the simputation package
2.01
11:36am CEST
Generating Missing Values for Simulation Purposes: A Multivariate Amputation Procedure
2.01
11:54am CEST
How to deal with Missing Data in Time Series and the imputeTS package
2.01
R and Haskell: Combining the best of two worlds
2.02
12:12pm CEST
LUNCH
CATERING POINTS
1:15pm CEST
KEYNOTE: 20 years of CRAN
PLENARY
2:15pm CEST
CLOSING
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