Most of the classifiers I've seen used in industry aren't even k-means. They're fixed heuristics (often with plausibly effective decision boundaries found via k

Most of the classifiers I've seen used in industry aren't even k-means. They're fixed heuristics (often with plausibly effective decision boundaries found via k-means). Consider the Netflix Prize, where the most effective algorithm couldn't actually be used in production. Commercial applications tend to favor "good enough" classification with low computational complexity. > It's almost a joke in the AI field: as soon as you produce a system that actually works, people say "Oh that's not AI, that's just math." I think that's the standard "insert joke here" any time someone has a "What is AI?" slide.