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We hire applied ML/AI specialists. For me it's not just an understanding of mathematical concepts, but also being able to apply new ideas to new problems. This
by lowglow 10y ago
We hire applied ML/AI specialists. For me it's not just an understanding of mathematical concepts, but also being able to apply new ideas to new problems.
This depends quite a bit on critical thinking, a good fundamental ability to analyze a problem and understand its parameters, then manage the logical operations required to deliver the feature and solve the problem.
As for why I think it's on HN every day: I also like to think of an innovation pipeline happening something like this:
[---------explore------|----------exploit-----------]
,->developers -> engineers/scientists -> data scientists->--,
/----------<----------------<--------------------<----------/
We're now in some sort of refinement cycle of innovation, where the current medium has been saturated on some level and there is a lot of push to mine value from the discoveries.
- solomatov 10y agoIt seems that you made it reverse of what you wanted. As far as I understand, data scientists should start the exploration and developers should finish exploitation.
- lowglow 10y agoInteresting observation! Perhaps its a bidirectional graph. I was thinking in terms of the development like this: 1. Observation made 2. Idea created 3. Software/Hardware made 4. Revenue achieved 5. Business parameters tuned using insights 6. Maximum profit achieved