Do you want to implement your Data Science solution in your company’s infrastructure and wonder which method is suitable? In this blog post, Jan Fischer explains why the use of containers combined with a microservices architecture may be the right way for you.
In this blog post, Jannik will show you how to deploy your machine learning models as a REST API and how to make requests to the API from within your Python code.
In this blog post, our colleague Lukas gives you a high-level introduction to RDS files (vs. RData files) and serialization. The function checks whether there is already an RDS with the same name in the path, renames it if required, and provides it with a timestamp and a reference ARCHIVED_ON_xx. The function then saves the new RDS under the specified name.
Auch unser STATWORX Team in der Schweiz ist diesen Monat in ein neues Büro umgezogen. Die neuen Räumlichkeiten im hippen Industrieviertel von Zürich bilden die Grundlage für den geplanten Ausbau des Standortes. Mehr zu den Zielen und Plänen des Teams Schweiz erzählt euch unsere Kollegin Livia in diesem Blogartikel.
Are you confused by Bayesian statistics? If you understand Ridge regression, one of the most common Bayesian models is within your reach! This post gives a brief intro to Bayesian thinking and shows you just how similar Ridge regression is to Bayesian linear regression by walking you through the math and exploring how coefficient estimates from both models compare.
In this blog post, Andre explains two approaches on how to secure a REST API: One works with nginx and the sub-request feature, the other implements the verification part in the API itself.
Do you want to visualize beautiful graphs in R but are shy to leave the tidyverse? Tidygraph and Ggraph ‚got you covered! See how their main functionalities are applied in this social network example!
After having successfully run a simple R-script inside a Docker container before, we next attempt to repeat this process for entire apps built within the RShiny framework. Join me on the next step toward deploying your work done in R with the help of neat Docker containers!
How can you frame a data science question according to your client’s needs? In this blog post, our colleague Dominique explains how important it is to think about the business question in a different way – the data science way.
To increase revenue, customers should be offered products they may need or films they might like. In this blog post, our colleague Andreas explains how to train your own movie recommender with R and provides it in a Shiny App.