ravimody

4 ms·

1. 1.▲
   by ravimody 10y ago

   > then we could name features This is much harder and more time-consuming than it sounds, especially when you go from a small(ish) number of features to more general knowledge. Worse, it doesn't scale to arbitrary domains - you&#x27
2. 2.▲
   by ravimody 10y ago

   HN link for part 1: https://news.ycombinator.com/item?id=12269568
3. 3.▲
   by ravimody 10y ago

   I'm similar - I have an eclectic taste in music that is often not served well by static, long-term algorithms that place me into a "well" of the same sounding music. It's a problem I think about a lot. Matrix factorizati
4. 4.▲
   by ravimody 10y ago

   Agreed, music map is a great interactive way to discover music. Last year one of our internal hack week teams built something like that using our vector space model. What was cool is you could switch between the different types from the UI,
5. 5.▲
   Mapping the World of Music Using Machine Learning: Part 1(tech.iheart.com)

   108 points by ravimody 10y ago|25 comments