Part 2: Trustbit Logistics Hackathon - Implementing Basic Logistics Simulator
In the previous article (Part 1: Trustbit Logistics Hackathon - Behind the Scenes) we talked about organizing our Logistics Hackathon on Sustainability - how it came to be.
Let’s get to the technical details now.
Part 1: Trustbit Logistics Hackathon - Behind the Scenes
A look behind the scenes of our Hackathon on Sustainable Logistic Simulation in May 2022. This was a hybrid event, running on-site in Vienna and remotely. Participants from 12 countries developed smart agents to control cargo delivery truck fleets in a simulated Europe.
Guest Blog: Logistics Data Scientists at the Trustbit Hackathon
On May 13th 2022 the hybrid "Trustbit Hackathon: Sustainable Logistics Simulation" was held at the beautiful Parkhotel Schönbrunn and was also open for remote participants from all over the world. We, a team of three data scientists, took part in it on-site and we want to share a bit about the great experience we had.
Using Historical Data to Simulate Truck Journey Durations & CO2 Emissions
Emissions. Assume you own a truck company: your company takes transport orders from customers who can goods delivered from point A to point B. How would that work?
How to use NLP (Natural Language Processing) libraries for post-processing Event Stormings in Miro
Within the framework of our Innovation Incubator, the idea arose to develop some tools to facilitate the post-processing of Event Storming sessions conducted in Miro. In this blog post, I will show you which text preparation steps are necessary to be able to analyse sticky notes from event stormings and how this analysis can be carried out with the help of the spaCy library.
Techniques and pitfalls for ML training with small data sets
Machine Learning (ML) is often mentioned in the same breath as big data. Yet, it can do much more than just exploring large datasets. This article gives you an overview of the most important techniques to use ML even if you actually don't have enough data.