mjaltthrowaway
mjaltthrowaway t1_j7oqeo1 wrote
Reply to [D] What techniques can I use to tell if a problem is likely enough to be solved by ML so as to justify compiling the dataset? by SnuggleWuggleSleep
I suppose the first question that comes to mind for me is: what problems exist in the vaccine world (besides poor customer sentiment) that ML/AI could potentially solve or enhance? Personalization? - to someone.
I suppose the first question that comes to mind for me is: what problems exist in the vaccine world (besides poor customer sentiment) that ML/AI could potentially solve or enhance? Personalization?
Maybe OP can use a similar method of analysis.
mjaltthrowaway t1_j7r9zon wrote
Reply to comment by SnuggleWuggleSleep in [D] What techniques can I use to tell if a problem is likely enough to be solved by ML so as to justify compiling the dataset? by SnuggleWuggleSleep
No it's real human. For some reason it didn't take in my first paragraph. What I was saying was that I own a high value domain related to vaccines and I was also thinking something along the similar lines of what OP posted.
And then the rest of my post was about starting from first principles and asking the simple question what problem does this machine learning website or app solve.