Author: Marcel Heisler
In the past couple of years research in the field of machine learning (ML) has made huge progress which resulted in applications like automated translation, practical speech recognition for smart assistants, useful robots, self-driving cars and lots of others. But so far we only have reached the point where ML works, but may easily be […]
This Blogpost contains some thoughts on learning the sizes arrays, slices or maps are going to reach using Machine Learning (ML) to increase programs’ performances by allocating the necessary memory in advance instead of reallocating every time new elements are appended.
Written by Verena Barth, Marcel Heisler, Florian Rupp, & Tim Tenckhoff DevOps Code Sharing Building multiple services hold in separated code repositories, we headed the problem of code duplication. Multiple times a piece of code is used twice, for example data models. As the services grow larger, just copying is no option. This makes it […]