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That makes sense. I'm coming from the angle of applied ML where solutions need to solve a business problem rather than advance the field of ML. In consulting ma
by sanchezdev 7y ago
That makes sense. I'm coming from the angle of applied ML where solutions need to solve a business problem rather than advance the field of ML. In consulting many problems can't be solved well without a labeled dataset and in lieu of one, less credible data scientists will claim they can solve it in an unsupervised manner.
- MiroF 7y agoFor sure. There are counter-examples however - fully unsupervised machine translation for resource poor languages comes to mind and is increasingly getting business applications. I think that in the future, more and more clever unsupervised approaches will be the path forward in huge AI advances. We've essentially run out of labeled data for a large variety of tasks.