Meet The CraftCodeCrew

This blog began in 2018, created by a group of students from DHBW (Duale Hochschule Baden-Württemberg) in Karlsruhe, Germany. At the time, we were all employed at major German enterprises, spending half our time on-site and the other half in university.

Originally called Billige Plätze (Cheap Seats) due to our habit of sitting in the back row of the classroom, the blog was soon renamed to CraftCodeCrew. After graduating in 2018, we pursued different career paths, and in 2020, three of us came together to found CraftCoders.

Please note that the older posts were written in our early 20s by non-native English speakers. You may notice some youthful tone and minor language errors. We've chosen to keep these articles as they were originally written. We hope you enjoy reading them!

Solving the Knapsack Problem with the Jenetics Library

Dominik JülgJava, Machine learning

According to its official documents, Jenetics is a library that is used for programming evolutionary algorithms written in Java. Jenetics is implemented using the Java Stream interface, so it works smoothly with the rest of the Java Stream API. Evolutionary algorithms have their roots in biology, as they use mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and … Read More

Quickstart: Get ready for 3rd Spoken CALL Shared Task

Dominik JülgMachine learning, Natural Language Processing, Python, Tutorials

These days is Interspeech conference 2018 where I’m invited as a speaker and as they write on their website… Interspeech is the world’s largest and most comprehensive conference on the science and technology of spoken language processing. Coming Wednesday the results and systems of 2nd Spoken CALL Shared Task (ST2) are presented and discussed in a special session of the … Read More

AI as a Service – a Field Report

Leon GottschickBots, C#, Field Report, Machine learningLeave a Comment

In this blog post I describe my experiences with AI services from Microsoft and how we (team Billige Plätze) were able to create hackathon award winning prototypes in roughly 24 hours with them. The post is structured according to the hackathons we participated and used AI services in, as of now (11.06.2018) there are 2 hackathons where we used AI … Read More

Analyzing a Telegram Groupchat with Machine Learning using an unsupervised NLP approach

Cem FreimoserKaggle, Machine learning, PythonLeave a Comment

Hey, guys!. When it came to finding a topic for my first blog post, I first thought of another topic… but then I remembered my student research project and thought it was actually fun! The student research project was about NLP (Natural language Processing), maybe I’ll tell you more about it in another blog post. Almost as interesting as NLP … Read More