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Interestingly, it seems based on my limited understanding of many AI and machine learning techniques that these techniques don't really follow the rule. If you
by baddox 11y ago
Interestingly, it seems based on my limited understanding of many AI and machine learning techniques that these techniques don't really follow the rule. If you train an artificial neural network to recognize certain photographs, you don't really understand what is going on. You know how the artificial neurons work, and how the training process works to apply weights to various connections between neurons, but you don't really know in precise terms what is going on any more than you do with a biological neural network.
I don't know what the implications of this are, or even if my simplistic understanding is accurate, but it does seem interesting.
- _0ffh 11y agoWell, one implication is quite obvious. Using ML-techniques you are sometimes able to solve a problem even if you don't have a precise idea of how you would do it. I feel that's part of the point, really. [Edit: Elaboration] In ML, you effectively transform your problem from "What piece of code will solve my problem?" to "What piece of data-driven code might solve my problem, and how do I acquire the right set of data?". Also, some ML-algorithms are designed specifically to enable you to analyze their "reasoning" about the problem after they have been trained.