![[D] Accessibility of Basic Models to Non-Technicals](https://jfbmhhfxbbrxcmwilqxt.supabase.co/storage/v1/object/public/resource-images/MachineLearning_AI_for_entrepreneurs_20250328_185249_processed_image.jpg)
[D] Accessibility of Basic Models to Non-Technicals
Hello /r/machinelearning!
I'm doing some research on easily generated models by non-technical/statistical people. It would be awesome if some of you could answer a quick questionnaire:
If you're a machine learning developer/data scientist etc.: a) Has your manager/product lead etc. ever insist that you build a model on a correlation you felt wasn't there? b) Do you think if that people had a way to verify the lack of correlation through a naive model (random forest, svc, etc.) that it would have changed the situation? (Or, if you were able to show them the results) c) Would you want this technology for yourself, or wish that your company would have access to it?
If you're a non-technical person (small business developer, student, non-tech entrepreneur, etc.):
a) Have you ever not pursued a potential machine learning/data solution or feature because you weren't willing to invest the resources to see if it was viable? b) Would being able to verify correlations in your data (or lack thereof!) entice you to pursue possible machine learning solutions? c) Even if your previous answers were no, would you be interested in having this technology?
Thanks in advance for all of the responses, I will personally read and respond to each one of you thoughtful enough to give me a response. Also, I hope this post will spark an interesting conversation about the barrier of entry to AI/machine learning.
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