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> Any 'ai' model right now requires classified data to train. It takes human work to classify data Interestingly that isn’t actually the case. I would guess mo
by jjcon 4y ago
> Any 'ai' model right now requires classified data to train. It takes human work to classify data
Interestingly that isn’t actually the case. I would guess most data used in ML is not human labeled specifically because it is so expensive and error prone. For example, most work done in the natural sciences simply utilize sensor data. Want to forecast some aspect of the weather? Grab a couple decades of historical data collected by weather sensors. None of that needs to be human labeled, only sensor collected. Some applications certainly do rely on manually human labeled data but not all, and I would personally guess only a minority of applications because of the difficulty in collection.
- AlbertCory 4y agoQuite true. Although there is unsupervised learning, much ML is supervised, meaning there is some ground truth. In those cases, the ground truth comes from sensors, as you said. Many ML models dealing with human interaction do need a human to provide the ground truth. More and more these days you can probably find corpuses of data already labelled, so you don't have to collect it afresh.