Machine learning algorithms are actually quite good at solving poorly specified problems. They learn from examples and don't require any definite problem specif

Machine learning algorithms are actually quite good at solving poorly specified problems. They learn from examples and don't require any definite problem specification. For example, recognizing people in a picture is almost impossible to specify but relatively easy to learn, given enough examples. Next time your facing a poorly specified problem, don't ask for a clear spec, instead ask for a million examples and train a deep net to solve it :)