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Machine learning doesn't solve one problem, but thousands. It's like asking what problem does a knife solve - it can be used to cutting, stabbing, throwing, sca
by bufferoverflow 8y ago
Machine learning doesn't solve one problem, but thousands. It's like asking what problem does a knife solve - it can be used to cutting, stabbing, throwing, scaring, etc.
ML is used in the areas where there no known algorithms, or the algorithms are too slow or simply not good enough.
In more general terms, ML tries to provide hgh quality outputs for given inputs.
- Tomminn 8y agoI think this can't be right. Machine learning is a bunch of small variations to a central algorithm. There must be one specific problem that it solves, otherwise it would be thousands of radically different algorithms. The second half of your answer is closer to what I'm looking for, but it's too vague.
- bufferoverflow 8y agoML is a bunch of different algorithms, and each of them has their own variations. Like deep learning is a general one, but then there are all kinds of topologies that result in various applications and performance.