Last week I stumbled across a great opportunity that was announced within the Google Cloud Blog, which I am regularly scanning for latest GCP innovations. They offered a 30 days free subscription for their new Google Cloud Skill Boost learning platform, which I immediately accepted. Eager to deepen my existing knowledge on GCP cloud services, […]
Category: recommender systems
Kaggle: Join the global machine learning and AI community
Around a halve year back I stumbled over Kaggle.com, a vital community portal of Artificial Intelligence and machine learning experts. Kaggle not only encourages people around the world to share thoughts and example data sets on popular machine learning tasks, they also host great AI challenges. Since I joined the Kaggle community 6 month ago, […]
Talk ‘How to build a Recommendation Engine’
Watch this really interesting presentation by Coen Stevens, who explains how to build a recommendation engine for Wakoopa. Coen, who achieved his master degree at the TU Delft on Knowledge Based Systems and propedueses for Psychology and Philosophy at Leiden University became the Lead Recommendations Engineer at Wakoopa. He held this talk at recked.org. Wakoopa is working […]
Recommender Systems and Context-Awareness
In the last months i realized that a new trend is emerging within all the fancy mobile apps that are published within the global marketplaces. The apps focus on the massive use of recommendation engines in combination with context-awareness. Such systems try to use all the highly dynamic information gathered from smartphones in order to […]