As someone who spends hours searching for new music, getting lost in rabbit holes of ‘related artists’ or ‘you may also like’ tabs, I wanted to see if cover art improves the efficiency of the search process. Browsing through a collection of images takes a lot less time than listening to clips of songs. As a starting place, I was curious if machine learning could accurately predict an album's genre from the cover art. In this post, I will show you how I built this model and what it teaches us about the role a record’s cover plays in categorizing and placing an artist's work into a musical context.

Background As of April 19, 2020, Taiwan has one of the lowest number of confirmed COVID-19 cases around the world at 419 cases1, of which 189 cases have recovered. The major infection clusters in March 2020 are imported from two major regions such as the United States and United Kingdom. These imported clusters are unlikely to cause local transmissions, since…

According to a recent survey by NewVantage Partners, only 15% of leading enterprises have deployed AI into widespread production. Why so few? For organizations to overcome the hurdles of deploying and managing AI, they have to overcome several major hurdles around model deployment, management, and monitoring, in addition to bridging the gap between IT and data science teams. These are…