My name is
and this is where I share my code, projects and
knowledge about machine learning.
I'm a software developer with specialization in datascience and machine learning. Specifically I help companies take advantage of their data and help them develop intelligent software to be put in production. I currently work as a data scientist at e-conomic with the goal of automating accounting.
15-12-2015 (Medium)
A little summary of the (in my opinion) most important advancements in the Python Data Science community of 2015.
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I needed a cliché data science background visualization for this website. So I decided to take a look at the D3 javascript visualization library and create somethink on my own. Check out the example and get the code on Github.
Distortion is a big four day music festival in the heart of Copenhagen. I had the pleasure of creating an interactive visual art installation that was controlled by the audience using a Xbox Kinect. The installation worked surprisingly well and it was great fun showcasing it to happy party people. Check out the video showing how it is controlled, or the video of the art installation in action.
Timetable optimization can be a super complex non-convex optimisation task. One class of timetable optimization is the Curriculum-based University Course Timetabling. This Java framework implements a fast delta-evaluation (fast computation of the cost of a timetable instance given another instance and the difference between them), and makes is easy to apply any meta-heuristic random search on top of it. Get the code on Github.
When I was playing around with quant analytics for trading stock in the stock market I found a hidden API for querying financial news artikles. This is a module that builds on top of this hidden API. The code is on Github.