From time to time we encounter a data format that no python package exists for, and so we built our own. That’s nice. But what is even better is sharing it with the open source community – and here it is, pyvlog.
We know our predictions can never be 100% accurate, so we always look for ways to quantify our models' performance. Here we explain how to generate confidence intervals for deep learning models.
Cities power the world’s economy but congestion in most major cities is now proving a menace to growth and well-being. It is why smart traffic management is set to be a game changer.
We worked with Rijkswaterstaat Datalab examining how its current water quality data can be used and enriched in order to give a better picture of the overall water quality in the Dutch river system.
Yesterday’s webinar on smart water management – with our co-hosts, the UK-based Future Water Association – covered the wealth of possible applications for machine learning in water management.
Data science specialist HAL24K has appointed Danny Frietman as its new advisor. An entrepreneur, Frietman has led many successful business mobile and digital market initiatives.
As part of our commitment to the open source community, HAL24K hosted the first Jupyter Amsterdam Meetup last night – on Valentine’s night so yes, we mean it when we say we love open source.
Our Dimension platform utilizes open source and we're starting to contribute back to the community by open sourcing some of the internal tools and the libraries we’ve built. We’ve begun by opening up OOProxy.
Data intelligence specialist HAL24K has appointed Alan Nance as its fifth member of the advisory board. Nance has built up an impressive track record as an expert and leader of successful international business transformations.