Lunch Lecture bol.com

Bol.com is the largest online shopping platform in the Netherlands and Belgium. Together we change retail to make everyday life easier. The code of our 700+ software engineers offer our 12 million customers more than 34 million products and an inspiring and personal shopping experience. Technology and innovation are essential parts of the bol.com culture and tech run through the veins of all bol.commers. Because of our complex and fast-paced environment, we can’t work with one-size-fits-all solutions. Every piece of code has an impact on our customers and partners. At bol.com we want to create an autonomous environment, where you get the trust to pioneer. Together as a team, but also you as a person. We want to be better and stronger together. We believe that with being mindful to each other and create a place where everybody gets a seat at the table just as who they are, only then we enable us to live up to our promise of truly being "de winkel van ons allemaal". "ML stories: improving recommendation and image retrieval in bol.com"
At bol.com we make use of products and users’ data to give a better user experience using machine learning and deep learning. Let’s dive into these two subjects about improving recommendation and image retrieval. What makes this data so interesting and challenging? How to combine computer science and machine learning? Join this talk to find out! Note: this lecture will be on-campus, with a maximum capacity of 75 people. The draw will be on Friday the 1st of April. After subscribing, showing up is mandatory. Unsubscribing is possible until Monday 4th of February. If you wish to attend this lecture, but are unable to come to attend on-campus, send an email to ceb@gewis.nl to see what we can do. If you have any allergies, also send me an email, so we can take this into account for the lunch.