Using Singular Value Decomposition to Build a Recommender System

#artificialintelligence 

Singular value decomposition is a very popular linear algebra technique to break down a matrix into the product of a few smaller matrices. In fact, it is a technique that has many uses. One example is that we can use SVD to discover relationship between items. A recommender system can be build easily from this. In this tutorial, we will see how a recommender system can be build just using linear algebra techniques.

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