All Times EDT
Keywords: reproducible science, automation, r
This talk explores different model development workflows and how each one can be automated using common software tools. These workflows include data extraction, cleaning, and normalization; model design, tuning, and validation; visualization and reporting; and applying a model to new data. The more these workflows are automated, the easier it is for others to reproduce your work. It also accelerates model development by automating common tasks. With process automation, reproducible science can be achieved with just a few commands.