Two exciting talks:
Bayesian Statistics in R
by Jonas Lindeløv, Assistant Professor in Cognitive Neuroscience and Neuropsychology, Aalborg University
This workshop will give a conceptual and practical introduction to Bayesian statistics in R. Bayesian statistics have a long been known to provide a larger flexibility than other approaches but it is only in recent years that it has become easy to apply this flexibility in practice. In this talk I will discuss Bayes Factors for model comparisons (as an alternative to p values) and Utility Theory as an approach for decision making. The presentation will be based notebooks referenced below but does not require that these have been studied before the talk.
R at scale on the Google Cloud Platform
by Michał Burdukiewicz: bioinformatician affiliated with Warsaw University of Technology, founder of the Why R? Foundation and Wrocław R Users Group (STWUR), CEO of .prot.
Data science requires more than just sufficient statistical knowledge to create a model. Data, often obtained from different sources, must be purified, combined and unified, dry analysis results visualized and the model itself made available in a form accessible to the client. The R environment provides tools to support every stage of this process: from data collection through model development to the development of web applications. During my talk, I will present package necessary the full stack, large-scale data science projects in R: drake, mlr and shinyproxy.