The Apache Mahout machine learning library’s goal is to build scalable machine learning libraries. We live in a world where keeping up with incoming data and making sense of it becomes ever more important – but also ever more tedious: Social networks, traditional media, subscription based newsletters are just three sources of incoming data.
To a large extend finding relevant information can be phrased as a simple search and solved that way. However some tasks call for a little more intelligence. This talk introduces Apache Mahout, a project that focuses on building a scalable machine learning library. It will cover some of the use cases that you can tackle with Mahout, go into more detail on classification and show you where machine learning can help you – but also where the limits are.
Video producer: http://geecon.org/