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> I've led several small-ish projects (1-2 people, 3-6 months) that could replace dozens or even 1000s of experts in their respective fields. Can you give some

• rm999 9y ago
  In one project at a previous job we were able to pinpoint the genre, mood, instrumentation, etc of any new song with (usually) better-than-human accuracy in milliseconds using deep neural networks. This is better in pretty much every way than the 1000s of music experts that are employed by competitors and vendors. https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-2-aa50b6a0304c https://tech.iheart.com/mapping-the-world-of-music-using-mac... Not to mention personalized recommendations, which basically aren't possible at scale without some level of ML: https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-1-9a57fa67e366 https://tech.iheart.com/mapping-the-world-of-music-using-mac... https://news.ycombinator.com/item?id=12269568 https://news.ycombinator.com/item?id=12269568 The thing to keep in mind is every machine learning practitioner who is worth their salary is doing stuff like this. A lot of our every day work isn't as sexy as teaching a computer Go, but it's game-changing to most industries.