We all have these times where we hack a piece of code together in 5 minutes. Usually, these pieces of code are not hidden gems, they tend to do simple stuff. Every once in a while though, you will find yourself writing a simple script which gives you a big smile afterwards. In this post, I will discuss one of »
The Data Science team at Greenhouse Group is steadily growing and continuously changing. This also implies new Data Scientists and interns starting regularly. Each new Data Scientist we hire is unique and has a different set of skills. What they all have in common though is a strong analytical background and the practical ability to apply this on real business »
Apache Spark is definitely one of the hottest topics in the Data Science community at the moment. Last month when we visited PyData Amsterdam 2016 we witnessed a great example of Spark's immense popularity. The speakers at PyData talking about Spark had the largest crowds after all. Sometimes we see that these popular topics are slowly transforming in buzzwords that »
In this second post in a series of posts about a content recommendation system for The Marketing Technologist (TMT) website we are going to elaborate on the concept of content-based recommendation systems. In the first post we described the benefits of recommendation systems and we roughly divided them in two different types of recommenders: content-based and collaborative filtering. The first »
The goal of data science is typically described as creating value from Big Data. However, data science should also meet a second goal, that is, avoiding an information overload. One particular type of projects that really meet these two goals are recommendation engines. Online stores such as Amazon but also streaming services such as Netflix suffer from information overload. Customers »