Music artist Recommender System using Stochastic Gradient Descent Machine Learning from Scratch…

Recommender Systems are becoming more and more relevant as the amount of information on "The Internets" is exponentially increasing: Finding what you might enjoy from books, movies, games to who to follow on Instagram becomes increasingly difficult. Moreover, we (the users) require faster interactions with the products we use on a daily basis, so we don't feel like we waste time (even though we do it more than ever before in human history). As the amounts of data increase, your computational resources might have a hard time to produce fast enough results. Here, we'll have a look at a succinct implementation of a Recommender System that is both the basis of many real-world implementations and is easy to understand. Traditionally, recommender systems are built around user ratings given for a set of items, e.g.