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> data scientists said they spent 65% of their time using relational datasets vs 18% for images It will be interesting to see the trend over years. One year do
by jorgemf 9y ago
> data scientists said they spent 65% of their time using relational datasets vs 18% for images
It will be interesting to see the trend over years. One year doesn't say anything about the trend in the industry.
- TuringNYC 9y ago> data scientists said they spent 65% of their time using relational datasets vs 18% for images Part of the reason is that use cases are driven by limited definitions of ML or "AI" -- AutoML for example note they are "Making AI accessible to every business..." but they are just managing a small part of one type of ML (images with conv nets and res nets.) A senior exec who reads this might develop a narrow view of what AI is. A general annoyance is how obvious techniques like regression, tree models, Bayesian models, etc on tabular data are so ignored while everyone gets hyper-obsessed over GANs or whatever. Almost 90% of low-hanging-fruit I see can be captured with simple classic ML applied to tabular data.
- jorgemf 9y ago90% of the time companies apply regression to problems because is the tool they know and works well for a lot of problems. But I think that has changed with deep learning. Deep learning works well for a lot of complex problems (as images). So now companies can solve problems that before couldn't solve. That is why I think it is relevant to see the trend.