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Absolutely. The current state of AI/ML practically requires a human to interpret the results. Even a recommender system is just collecting and analyzing data fo
by optimuspaul 6y ago
Absolutely. The current state of AI/ML practically requires a human to interpret the results. Even a recommender system is just collecting and analyzing data for humans to consume in some way. And that system needs to be maintained and retrained regularly to produce meaningful results.
- joshribakoff 6y agoThis is only true of supervised offline learning
- deleted 6y ago[deleted]
- optimuspaul 6y agowrong. I have trained plenty of unsupervised models where the inferred results are purely for human consumption. In fact I believe unsupervised models more often require a human to analyze the results.
- joshribakoff 6y agoWhether an algorithm is supervised or not certainly does affect whether you need to retrain it periodically. Also it does not at all affect whether the output is fed to end users or to other algorithms
- optimuspaul 6y agoI feel like maybe we are saying the same thing but using different words.