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It seems fairly useless if we get different results depending on where we start from. That's not what I call learning.
by labrador 5y ago
It seems fairly useless if we get different results depending on where we start from. That's not what I call learning.
- IceMetalPunk 5y agoTo be fair, there would be a difference for awhile, as more training data makes its way into the system. But you're right that an effective machine learning system, or even just an effective Bayesian analysis, would be problematic if it didn't trend towards a the same answer as more data is obtained. And after 18 years and millions of users, yeah, if the initial training data still held any influence over its decisions, it would mean the whole system is broken.