category of interest?
Migrating to Open Source: SAS to Python
Although we don't deny some of the benefits of licensed solutions, we can't help being the evangelists of open-source technology. We believe that hundreds of thousands of euros that companies spend on licenses can be invested more efficiently.
On hackathons: lessons learned, experience, advice
Although our daily job is to help companies with setting up their analytics processes, building machine learning solutions, and hiring data scientists, we never say no to a hackathon invitation. Recently, we participated in one exciting hackathon in Slovakia, so we decided to share our experience while it's still fresh in our memories.
How To Make A Cryptocurrency Portfolio Dashboard In 20 Minutes
Considering all the craze around cryptocurrencies happening all around us this year, our team has also decided to dip their toes into these crypto-waters and invest a little bit of money into the hype. In this blog, we will build a simple Google Sheet based portfolio monitoring tool. It is supposed to auto-update with new values on exchange rate changes.
Semantic Similarity Across Facebook Posts
In this post we will use modern Natural Language Processing techniques to find similar posts in a Facebook group.You have probably been in a situation where you want to post something in a Facebook group but you are not sure whether almost the same post already exists and is maybe just hiding on the next page.
Data Science For Everyone
Gut feeling used to be the biggest asset of successful businessmen in the past. Nowadays, intuition still plays an important role, but with all the available knowledge and technologies, there has been a significant shift. One of the most important sources of a competitive advantage these days is data. Big Data is a hype and undoubtedly a bandwagon to jump on. But how?
The Data Awakens
It has come. The most anticipated movie of this year was released and the Force has awakened. We have tracked the activity on Twitter before and after the release date to gain insight into the reactions of people and their feelings about the next episode of the most famous movie franchise in history.