Overview about the current state of the Jamstack web architecture in 2022 and an explanation of selected technologies and techniques related to the concept. | Continue reading
This blog post offers a collection of useful tricks and tools for the day to day development with the Android Open Source Project (AOSP). | Continue reading
In this blog post, I want to draw your attention to the somewhat dusty Bayesian Hierarchical Modelling. Modern techniques and frameworks allow you to finally apply this cool method on datasets with sizes much bigger than what was possible before and thus letting it really shine. | Continue reading
Which Container runtime do you use? Classics like Docker and containerd, or have you tried VM-based projects like Nabla, Kata or Firecracker? In this blog post, we compare more than ten container runtimes and classify them based on standards like OCI, Kubernetes’ CRI and CNI. | Continue reading
Teach your Deep Neural Network to be aware of its epistemic and aleatory uncertainty. Get a quantified confidence measure for your Deep Learning predictions. | Continue reading
This blog post will compare three different tools developed to support reproducible machine learning model development: MLFlow developed by DataBricks (the company behind Apache Spark), DVC, a software product of the London based startup iterative.ai, and Sacred, an academic proj … | Continue reading