Mapping the World of Music Using Machine Learning: Part 2

In June 2016 Ravi Mody and Tim Schmeier gave a presentation at the NYC Machine Learning meetup to discuss their work on the data science team at iHeartRadio. This is the second in a three part article complementing the presentation. We recommend you read part 1 before continuing. As discussed in part 1, some of the most exciting developments in online music have been around deep personalization using machine learning. We went into detail on how we at iHeartRadio are using a machine learning method called matrix factorization (MF) to map our user behavior into powerful representations called vector space models.