Get Your Results Faster With {future}

The recording from UseR Oslo's meetup on April 15th, 2021 - https://www.meetup.com/Oslo-useR-Grou...

The {future} package offers a unifying framework to distributed computing in R. It lets you run exactly the same code – and achieve exactly the same results – sequentially on your laptop, in parallel on your laptop, in the cloud, or on large computing clusters. In this talk, Øystein will highlight various ways {future} lets you do your data science tasks more efficiently, from file system operations and preparation of large datasets to statistics and machine learning tasks like cross-validation, bootstrapping, and simulations. He'll focus particularly on functional programming with {future.apply} and {furrr} in parallel on a decent laptop, but will also touch upon cloud and cluster computing and package development.

[Bio]
Øystein Sørensen is an Associate Professor in Statistics at the Department of Psychology, University of Oslo (UiO). He works on both applied data analysis projects within cognitive neuroscience as well as development of new statistical tools, typically involving generalized additive models, and he is the author of four R packages. He received his PhD from the UiO in 2014, after which he worked as a data scientist in Storebrand and NextBridge analytics prior to joining UiO in 2018. His homepage is https://osorensen.rbind.io/.