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Tuesday, July 4
 

9:30am CEST

Data Carpentry: Open and Reproducible Research with R 2.02 Dose-response analysis using R 4.02 Geospatial visualization using R 4.03 Introduction to Bayesian inference with JAGS 2.01 Introduction to parallel computing with R 3.01 Rcpp: From Simple Examples to Machine Learning PLENARY Solving iteration problems with purrr 3.02

11:30am CEST

Data Carpentry: Open and Reproducible Research with R 2.02 Dose-response analysis using R 4.02 Geospatial visualization using R 4.03 Introduction to Bayesian inference with JAGS 2.01 Introduction to parallel computing with R 3.01 Rcpp: From Simple Examples to Machine Learning PLENARY Solving iteration problems with purrr 3.02 Sports Analytics with R 4.01

2:00pm CEST

data.table for beginners 3.01 Efficient R Programming PLENARY Introduction to Natural Language Processing with R 3.02 Introduction to optimal changepoint detection algorithms 4.01 Modelling the environment in R: from small-scale to global applications 2.01 OpenML: Connecting R to the Machine Learning Platform OpenML 4.02 R package development with R-hub 2.02 Spatial data in R: new directions 4.03

4:00pm CEST

data.table for beginners 3.01 Efficient R Programming PLENARY Introduction to Natural Language Processing with R 3.02 Introduction to optimal changepoint detection algorithms 4.01 Modelling the environment in R: from small-scale to global applications 2.01 OpenML: Connecting R to the Machine Learning Platform OpenML 4.02 R package development with R-hub 2.02 Spatial data in R: new directions 4.03