Our latest tool development at STATWORX: random boost, an algorithm twice as fast as gradient boosting, with comparable prediction performance. Der Beitrag How to Speed Up Gradient Boosting by a Factor of Two erschien zuerst auf STATWORX.

Introduction Writing appealing interactive web applications – one of STATWORX's many competences – is an ease with R shiny. Just a few lines of code in one R script create the whole logic you need to let the whole magic of shiny happen. It is so simple that you can make a ...

Everybody talks about them, many people know how to use them, few people understand them: Long Short-Term Memory Neural Networks (LSTM). At STATWORX, with the beginning of the hype around AI and projects with large amounts of data, we also started using this powerful tool to solve business problems. In ...

Introduction RStudio is a powerful IDE that helped me so many times with conveniently debugging large and complex R programs as well as shiny apps, but there is one thing that bugs me about it: there is no easy option or interface in RStudio that lets you customize your theme, ...

The story continues As Christian and I have already mentioned in part 1 of this simulation study series, pandas and data.table have become the most widely used packages for data manipulation in Python and R, respectively (in R, of course, one may not miss mentioning the dplyr package). Furthermore, at ...

At STATWORX, we all love R – even so much, that we have decided to visit eRum 2018, an R conference hosted in Budapest! And just as much as we love R, we love the piping operator %__% , as it makes our R codes much neater. I guess, many of you have already ...