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Someone still needs to have enough domain knowledge to figure out what needs solving and how to validate that it was solved. Being able to frame problems, and
by sidibe 3y ago
Someone still needs to have enough domain knowledge to figure out what needs solving and how to validate that it was solved.
Being able to frame problems, and being able to cobble together the data and infra for the AI to solve them are the most valuable things in the medium term.
- bigger_cheese 3y agoYes I think having domain knowledge (such as Chemistry, Physics etc) is invaluable for real world problem solving. I am a Materials Engineer I see it in my field with ML as well. I think people are starting to understand now that being able to validate the inputs and outputs requires some understanding of the process you are trying to model. i.e. To ensure you aren't proposing things that fundamentally contradict basic Thermodynamics etc. Even for optimization type modelling you need domain knowledge to design sensible constraints to frame the problem.