Recommentation Engines in the cloud with HDInsight/Hadoop in Azure

Have you ever thought about, how Spotify generates suggestions for new songs you should listen to? Or, how YouTube can generate automatic playlists? Or, how Stack Overflow comes up with suggestions, for new forum threads, that might be of interest to you? The answer is Recommendation Engines, and in this session we will talk about, how you can build your own engine using HDInsight/Hadoop in Azure.

The session is for everyone – regardless of prior experience, or lack thereof with the subject. The main focus will be on how Recommandation Engines (and Machine Learning in the cloud in general) work, then there will be a short explanation of the mathematics behind, and lastly we will cover how to get started training one’s own engine.

SPEAKER:

Sebastian Brandes is a Tech Evangelist at Microsoft´s Developer Experience-department. He works with Apps, Azure and developer tools such as e.g. Visual Studio and has worked with the treatment and processing of large data volumes in the cloud since 2011. He works closely with Microsoft´s internal Center of Excellence for Data Insights and has held several internal and external presentations on the subject of data processing and statistics using the support of a wide range of Microsoft-products.