Speaker slides and materials for satRday Berlin 2019. You can find the schedule of the day on our website.
- Hannah Frick: Explainable Machine Learning
- Mikhail Balyasin: Touring the tidyverse
- Judit Mokos: Speak visually! - Data visualization in R using ggplot2
- Juan Orduz: Some Remedies for Severe Class Imbalance
- Tim Radtke: Modeling Short Time Series with Prior Knowledge
- Hanna Tillmanns: Using R in the health insurance sector - Lessons learned from automating reports
- Gero Szepannek: An Overview on Explainable AI in R
- Evgeny Savin: Matching customer requests with supply in smava's personal loan market place
- Grace Meyer: Not all users are the same – how do people benefit from Android?
- Brian Callander: Recovering from selection bias with Bayesian hierarchical models
- Bruno St-Jacques: Discourse Network Analysis using R
- Prasanna Bhogale: DevOps and R : machine learning in production
- Corrie Bartelheimer: Estimating Berlin House Prices using a Hierarchical Bayesian Model
- Johannes Johow: Reproducible research using tools that evolve: An R snapshot from human reproductive ecology
- Karsten Weinert: Applying the maximum entropy principle using R
- Cédric Scherer: NLMR and landscapetools: Simulating and modifying neutral landscape models
- Jonas Schöley: Mapping Europe's demographic diversity using multidimensional color scales
- Isabella Gollini: Enhancing creativity in programming with R
- Uwe Ligges: CRAN, R, and the people moving it forward
- Lisa Reiber: Behind the scenes at R-Ladies Berlin
- Rafael Camargo: The Berlin R Users Group