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nbro
nbro
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AI When we are working on Academic vs Industry vs Competitionan AI project, does the context (academia, industry or competition) make the process different?

When we are working on an AI project, does the background or the domain/context (academia, industry, or competition) make the process different? The "domain" I mean here is like AI for academic research, AI for industry, and AI for competition.

For example, I see in the competition most participants even winners use the stacking model, but I have not found anyone implementing it in the industry. How about the cross-validation process, I think there is a slight difference in industry and academia.

So, does the domaincontext/domain of an AI project will make the process different? ifIf so, what are the things I need to pay attention to when creating an AI project based on its domain?

AI on Academic vs Industry vs Competition

When we are working on an AI project, does the background or the domain make the process different? The "domain" I mean here is like AI for academic research, AI for industry, and AI for competition.

For example, I see in the competition most participants even winners use the stacking model, but I have not found anyone implementing it in the industry. How about the cross-validation process, I think there is a slight difference in industry and academia.

So does the domain of an AI project will make the process different? if so, what are the things I need to pay attention to when creating an AI project based on its domain?

When we are working on an AI project, does the context (academia, industry or competition) make the process different?

When we are working on an AI project, does the domain/context (academia, industry, or competition) make the process different?

For example, I see in the competition most participants even winners use the stacking model, but I have not found anyone implementing it in the industry. How about the cross-validation process, I think there is a slight difference in industry and academia.

So, does the context/domain of an AI project will make the process different? If so, what are the things I need to pay attention to when creating an AI project based on its domain?

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malioboro
malioboro
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AI on Academic vs Industry vs Competition

When we are working on an AI project, does the background or the domain make the process different? The "domain" I mean here is like AI for academic research, AI for industry, and AI for competition.

For example, I see in the competition most participants even winners use the stacking model, but I have not found anyone implementing it in the industry. How about the cross-validation process, I think there is a slight difference in industry and academia.

So does the domain of an AI project will make the process different? if so, what are the things I need to pay attention to when creating an AI project based on its domain?