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What do you mean by this? This seems like a vast sweeping generalization. There are lots of areas where ML already outperforms human accuracy with open and avai
by OrderlyTiamat 6y ago
What do you mean by this? This seems like a vast sweeping generalization. There are lots of areas where ML already outperforms human accuracy with open and available tools, are you saying these should be avoided unless there is a very good reason to use them?
- Nasrudith 6y agoHow do you know it is accurate if you cannot tell yourself? And the ML learned it by your expectations. Without accurate verification you fundamentally have GIGO.
- josalhor 6y agoIn this paper (https://www.nature.com/articles/s41551-018-0195-0 https://www.nature.com/articles/s41551-018-0195-0) Google predicts patients' sex with 97% accuracy from images of their retinas. This was thought to be impossible. I think this is a pretty decent example of a Neural Net becoming better at something than humans are.