The story had begun in 2011 when a hacker under the nickname ‘Hell’ hacked into the email of the Russian opposition leader Alexei Navalny and made his correspondence public. ‘Hell’ had a personal blog and used warped language to make de-anonymizing harder. Although machine NLP (natural language processing) was not…

We have previously written about the possibilities of using machine learning methods for analyzing the urban environment. In the new article about some more possibilities of using computer vision for processing data from a satellite or drone. As we wrote earlier, the most accurate and visual way of displaying greenery…

Any analysis should start with the initial data. In many sciences, there are lots of parsed and prepared datasets, but urban studies are less fortunate with this. Modern man has satisfied his hunger, recovered from diseases, learned the secrets of the atomic nucleus and the universe — it’s probably time…

The problem of efficient logistics is an important task of optimizing the work of many organizations. Modern data science and machine learning methods are making it possible to solve these issues faster than ever before. In our work, we often solved similar problems: we made up the best routes for…

Part 1. The Challenge GIS (geographic information system) services have always been essential for strategic planning. With the increasing share of remote work and the growth of delivery services, the task of coordinating couriers has become critical. In services like Uber optimal logistics is one of the most important components…

Celado AI team faced the task to cluster the customer base for pizza restaurants in order to improve product analytics, define long term marketing activities and reduce customer churn. Despite the active expansion due to the opening of new pizzerias and a positive unit of the economics, the company had…