Why human-in-the-loop computing is the future of machine learning...
Edward Tadros stashed this in Cool Technology
"This simple pattern is at the heart of many well known, real-world use-cases of machine learning. And it solves one of the biggest issues with machine learning, namely: it’s often very easy to get an algorithm to 80 percent accuracy but near impossible to get an algorithm to 99 percent. The best machine learning lets humans handle that 20 percent since 80 percent accuracy is simply not good enough for most real-world applications."
Good to know we humans will still have value for the foreseeable future. :)