Hello and welcome everybody to our TNWiki Article Spotlight on Tuesday.
Throughout the last weeks I had a lot of articles to share written by Chervine. Today won't be an exception. During the last Azure Bootcamp earlier this year my boss made a demo about Azure Machine Learning which was pretty impressive. Within a matters of minutes I was able to build a simple recommender system available through an API endpoint. Developing a Recommender Solution with Azure Machine Learning goes a similar way. Chervine gives a very short introduction (for beginners: you should read some introductory material from the Azure documentation) and then dives right into building a recommender system. Starting by adding a dataset hew walks through the exclusion of unnecessary columns, how to split the data, adding a score and many other stuff.
If you want to see how easy machine learning is via the Azure ML Studio check out this nice article!