In this video, we're going to look at several different type of recommender systems in an iPython notebook. Popularity based, item-item collaborative, then user-item collaborative. Then we'll touch on the bleeding edge in deep learning at the end. Also I freestyle. Twice lol.
Code for this video:
https://github.com/llSourcell/recomme...
More learning resources:
http://tech.hulu.com/blog/2016/08/01/...
https://blogs.msdn.microsoft.com/carl...
https://www.mapr.com/blog/inside-look...
https://www.ics.uci.edu/~welling/teac...
https://www.analyticsvidhya.com/blog/...
http://blogs.gartner.com/martin-kihn/...
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